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Rigging for characters in Maya made easy in only 60 minutes

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 0.98 GB | Duration: 1h 7m
Save time and work creating a complete corporal rig in only 60 minutes including the weighting process​

What you'll learn
At the end of the course, you will be able to create complete corporal rigs for animation in only 60 minutes.
Create and automate custom controls.
Achieve excellent deformations almost automatically without using plug ins.
Create and automate custom deformations with Pose Editor.
Bake deformations to export to other 3D software.
Use Autodesk Maya for Rigging.

Description
Learn to create a complete corporal rig in about 60 minutes including the weighting process, save time and work as never, also create custom deformations with the new Pose Editor, create custom controllers to accelerate the animator work and get the most control over the character on hands and feet, also get tips to weight your character in a fast way.

Learn to bake the deformations created with Delta Mush, and this way export your character with same deformations in Maya to other 3D software as, Unreal Engine, Unity, or other 3D applications.

If you enjoyed our course Rigging for characters in Autodesk Maya (the one with the Hulk character), where we created same rig than this course but step by step, in this case you'll create a similar rig but in an automatic way with some improvements as a hip joint, custom deformations and controllers, baking deformations, etcetera.

The process is simple, indicate Maya where the joints are, create the rig, modify the rig to add important features, customize and automate controllers, weight the character and finally add and bake deformations to accelerate this process.

To show the effectiveness of the course, we are going to create 3 character rigs including the weighting process along these lessons.

Who this course is for:
Any enthusiast, student or professional who wants to learn to create complete corporal rigs for character animation in only 60 minutes.
People that need rigs without be a rigger.
Save time and work in rigging process.

Screenshots

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Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/142941f1fb0352e5ccb75e5bdeb5bf19/luobn.Rigging.for.characters.in.Maya.made.easy.in.only.60.minutes.part1.rar.html
https://rapidgator.net/file/629f8ca5013574f20ad2b0d7231d083e/luobn.Rigging.for.characters.in.Maya.made.easy.in.only.60.minutes.part2.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/6376913B9888cdcA/luobn.Rigging.for.characters.in.Maya.made.easy.in.only.60.minutes.part1.rar
https://uploadgig.com/file/download/8082D05f8eef37A9/luobn.Rigging.for.characters.in.Maya.made.easy.in.only.60.minutes.part2.rar

[b]nitroflare_com[/b]:
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https://nitroflare.com/view/EDCDDCAAAE58063/luobn.Rigging.for.characters.in.Maya.made.easy.in.only.60.minutes.part2.rar[/center]

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Sentiment Analysis with Python - Udemy

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 376 MB | Duration: 1h 9m
Learn steps to build a successful sentiment analysis model​

What you'll learn
Learn about sentiment analysis and why we need it
Brief explanation on the steps that we will take to build sentiment analysis models
Calling the libraries and explaining the libraries used for sentiment analysis
Coding the steps to build a successful sentiment analysis model

Description
The web is full of apps that are driven by data. All the e-commerce apps and websites are based on data in the complete sense. There is database behind a web front end and middleware that talks to a number of other databases and data services. But the mere use of data is not what comprises of data science. A data application gets its value from data and in the process creates value for itself. This means that data science enables the creation of products that are based on data. This course includes real-world projects on Sentiment analysis which are used by data scientists or people who inspire to be the data scientist.

Every company on the face of the earth wants to know what its customers feel about its products and services and sentiment analysis is the easiest way and most accurate way of finding out the answer to this question. By learning to do sentiment analysis, you would be making yourself invaluable to any company, especially those which are interested in quality assurance of their products and those working with business intelligence.

Sentiment analysis refers to the use of natural language processing(NLP), text analysis, computational linguistics, and biometrics to systematically identify, extract, quantify, and study affective states and subjective information. Sentiment analysis is widely applied to voice of the customer materials such as reviews and survey responses, online and social media, and healthcare materials for applications that range from marketing to customer service to clinical medicine.

The tutorials will include the following;

1-Explaining what is sentiment analysis and why we need it

2- A Brief explanation on the steps that we will take to build sentiment analysis models

3-Calling the libraries and explaining the libraries used for sentiment analysis

4-Coding the steps to build a successful sentiment analysis model

Who this course is for:
Anyone who wants to learn about data and analytics
The course is good for Data Engineers, Analysts, Architects, Software Engineers, IT operations, and Technical managers

Screenshots

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Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/f21a96d918f9f4eba9b4e2574db74cff/2p02b.Sentiment.Analysis.with.Python..Udemy.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/8ECcd00d4514644D/2p02b.Sentiment.Analysis.with.Python..Udemy.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/BD045047CA71352/2p02b.Sentiment.Analysis.with.Python..Udemy.rar[/center]

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Ted Gore - Purple Poison

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Ted Gore - Purple Poison
Video: .MP4, 2560x1440 | Audio: AAC, 48 kHz, 2ch | Size: 2.05 GB
Genre: eLearning | Language: English | Duration: 2hr 19m​
This course is an in detail demonstration of how a finished landscape image from the portfolio of landscape photographer Ted Gore is created from start to finish. The course begins with a breakdown of the concept, the composition, and the color theory behind the image, and then covers the processing beginning with the base raw processing in lightroom. Continuing on into photoshop, the course then shows all the steps of the process in photoshop covering the topics focus blending, focal length blending, adding light glow and accentuating scene light, transform warping for composition, sharpening for web, and more. Seeing the entire process is a great way to see lots of different techniques in practical application which you can then add to your own arsenal for processing your own images.


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/be344dc17a11e19ca3e6d2c6c31f84f6/k2s8h.Ted.Gore..Purple.Poison.part1.rar.html
https://rapidgator.net/file/c712f557f18cd92a6acf348a58d0fad3/k2s8h.Ted.Gore..Purple.Poison.part2.rar.html
https://rapidgator.net/file/53d2740ee1020ef23e67e83a36d759a7/k2s8h.Ted.Gore..Purple.Poison.part3.rar.html
https://rapidgator.net/file/533965b486f986bc6d514d1c6b8aa9be/k2s8h.Ted.Gore..Purple.Poison.part4.rar.html

[b]uploadgig_com[/b]:
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https://uploadgig.com/file/download/66e43aF486757E67/k2s8h.Ted.Gore..Purple.Poison.part4.rar

[b]nitroflare_com[/b]:
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https://nitroflare.com/view/12958693EC691EF/k2s8h.Ted.Gore..Purple.Poison.part4.rar[/center]

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Tensorflow with Python - Udemy

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 496 MB | Duration: 1h 29m
Learn practical use of TensorFlow and get skills on Data Analysis, TensorFlow, Deep Learning Application​

What you'll learn
Learn installation of TensorFlow, Introduction of TensorFlow, different data types in TensorFlow, PyCharm IDE environment setup, etc
The set of skills that can be acquired upon completion of this TensorFlow training are Data Analysis, TensorFlow, Deep Learning Application
There are few skills also which could be obtained in completing this course are such as TensorFlow Model, Neural Networks, PyCharm IDE, TensorFlow Eager API, Linear regression, Logistic regression, and

Description
The TensorFlow is an open-source library for machine learning and deep learning applications. It is a freeware and does not require a license. TensorFlow was developed by Google Brain Team. TensorFlow was initially released in the year 2015. It was purely written in Python, C++ and CUDA languages. It supports multiple cross platforms such as macOS, Windows, Linux, Android, etc. It is mainly used in the form of a Math library. It was licensed under Apache License 2.0. The usage of Machine Learning contains the classification of basic elements and text, overfitting and underfitting, saving and restoration models. The production scale levels of Machine Learning include linear model, wide and deep learning, boosted trees, estimators based on CNN. The different generative models under TensorFlow are the translation, image captioning, DCGAN and VAE techniques. The different data representation ways in TensorFlow are a vector representation of words, kernel methods, large scale linear models and Unicode.

This TensorFlow is a machine learning platform that is under open source licensing. TensorFlow library can be used for both production and research applications. The different applications that can be carried out under TensorFlow are Research and experimentation, production scale Machine Learning, generative models, Images, Sequences, Load data, data representation, Non-Machine Learning applications.

The training will include the following:

1. Tensorflow Installation using Pip and Anaconda Navigator
2. TensorFlow Introduction
3. Environment set up in PyCharm IDE and running Sample Hello World Program
4. Data Types used in TensorFlow and their handling in Python
5. Implementing Linear model example, calculating loss value and reducing loss value using Optimizer and Train
6. Updating existing data element value using Feed Dictionary
7. Placeholder example and Usage and declaration of Constructor
8. Addition of 2 numbers and progammatically calculation of Random numbers

Who this course is for:
The learners who are holding any Bachelor's engineering in Computer Science or any technical areas can choose this TensorFlow training as a better option in getting expertise in Deep Learning technologies. All the learners who are keen in learning and obtaining knowledge on Deep Learning techniques or Data processing or Big data analytics or Hadoop frameworks can opt for this TensorFlow course.
Software Developer, Research Scientist, Data Analyst, Business Analyst, Hadoop Developer, Researcher, SAS Programmer, R Programmer, Machine Learning Engineer, Machine Learning Developer, AI Expert, Chatbots Developer, AI ML Engineer, Python Developer, Python ML Engineer, Solution Architect, Machine Learning Scientist, etc. This course can opt also to pursue better career opportunities in the area of Machine Learning or Deep learning processes.

Screenshots

c3df0579da926f30f5e5d199b08a5005.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/69c9e7e15be4ee79732e4cb7b77c75e5/naqew.Tensorflow.with.Python..Udemy.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/0Ae63F015b3888fF/naqew.Tensorflow.with.Python..Udemy.rar

[b]nitroflare_com[/b]:
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The Autocad Civil 3D Course: From Beginner to Intermediate

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MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.54 GB | Duration: 2h 2m​

In this course you are going to learn how to use the Autocad Civil 3D from scratch, while doing a real project.

The Autocad Civil 3D is one of the main softwares used for infrastructure projects, being able to analyse topography, simulate 3D terrain surfaces, design road projects, export reports about materials and more.

If this is the first time you're using the software, there's no problem. You are going to understand the interface, the menus and how to do all the required settings inside the software. You are going to learn how to import topographic points and how to create the 3D surface of the terrain using these points. Then, you are going to learn how to design a road to be built on the terrain, taking into consideration it's particularities. You are also going to learn how to generate graphic profiles, views and perspectives of the project, and finally how to analyse and create reports about the the amount of terrain that will be managed (cut and fill) and the materials needed (concrete and aggregates).

Screenshots

baa72cfc92703b20622bb4fd7e3456ef.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/bc3a5a81fdbe0f078e36b50fc109d01f/bg37a.The.Autocad.Civil.3D.Course.From.Beginner.to.Intermediate.part1.rar.html
https://rapidgator.net/file/d007de72c92ffee1deb3d4e509842227/bg37a.The.Autocad.Civil.3D.Course.From.Beginner.to.Intermediate.part2.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/308635c6fAD1e270/bg37a.The.Autocad.Civil.3D.Course.From.Beginner.to.Intermediate.part1.rar
https://uploadgig.com/file/download/816F8313fd633Ee8/bg37a.The.Autocad.Civil.3D.Course.From.Beginner.to.Intermediate.part2.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/548B66A324EF21D/bg37a.The.Autocad.Civil.3D.Course.From.Beginner.to.Intermediate.part1.rar
https://nitroflare.com/view/906B2F76FB8E616/bg37a.The.Autocad.Civil.3D.Course.From.Beginner.to.Intermediate.part2.rar[/center]

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UI Design for Developers - Udemy

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Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.13 GB | Duration: 4h 14m
Don't skip design. Learn design and code, by building real apps with React and Swift. Complete courses about the best to​

What you'll learn
In this course we'll learn how to use design systems,
Setup break points,
Typography
Spacing
Navigation
Size rules for adapting to the iPad, mobile and web versions
Different techniques that translate well from design to code.

Description
In this course we'll learn how to use design systems, set up break points, typography, spacing, navigation, size rules for adapting to the iPad, mobile and web versions, and different techniques that translate well from design to code.

We all try to be consistent with our way of teaching step-by-step, providing source files and prioritizing design in our courses.

Design is more science than art so a lot of newbies or even experienced designers when they don't know the Graphic Designprinciples and techniques, they end up creating designs that are Dull and sometimes Ugly Why some designs feels and works better than other? Have you every thought that? Or what is the secret process behind creating Awesome designs. So I am going to reveal all that in my course with a lot of examplesThis Course is focused on Graphic Design and Design process to help you upgrade your Designs and learn how to even start your designsIf you have missed Design Theory in your college and you want to design awesome looking Website Design or Mobile Apps then this course is for yoU

22 TOPICS

All techniques are explained step-by-step, in a beginner-friendly format so that you can easily follow in a cohesive way.

What's included? All courses come with downloadable files to help you design, code and follow the course offline.

Screenshots

19287cf663a341c9da29976e4b782733.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/9c96dfcee81d201e2f1c3ee011deff9e/kqrnu.UI.Design.for.Developers..Udemy.part1.rar.html
https://rapidgator.net/file/9504c64951a8095480fc2fd653956a14/kqrnu.UI.Design.for.Developers..Udemy.part2.rar.html
https://rapidgator.net/file/62d9b4485383daac83ba9d1c988740bb/kqrnu.UI.Design.for.Developers..Udemy.part3.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/df89e0A4e1F8de03/kqrnu.UI.Design.for.Developers..Udemy.part1.rar
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[b]nitroflare_com[/b]:
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https://nitroflare.com/view/76BD2941D02B9B8/kqrnu.UI.Design.for.Developers..Udemy.part3.rar[/center]

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Visual Feedback: Dialogs, Snackbars & Toasts

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RayWenderlich
Duration: 34m | Mar 16 2021 | Video: 1920x1080, 48kHz | 239 MB
Genre: eLearning | Language: English | Skill Level: Beginner​

Learn how to use a variety of dialogs to display different types of information, show touch states and progress indicators and provide quick updates to users with snackbars and toasts.

Visual Feedback: Dialogs, Snackbars & Toasts
Work with Touch States
5:02
FREE
Learn how touch states are implemented in xml layouts and their importance for visual feedback.

1
Use Dialogs & MaterialAlertDialogBuilder
2:25
Learn how to use dialogs in your user interfaces in a proper way. Also learn about the three different types of dialogs: simple, confirmation and alert.

Use Simple & Confirmation Dialogs
5:51
Simple dialogs are an easy way to display information that needs attention and some kind of action from the user. Confirmation dialogs usually include a cancel button and a confirmation button. In this episode learn how to build and display simple dialogs and confirmation dialogs.

Use Alert Dialogs
4:32
Some actions such as deleting an email or a list are irreversible. When an irreversible action is about to be performed by the user it is advisible to warn the user in case they have made a mistake. This is when alert dialogs come in handy. Learn how to display an alert dialog in our app when the user clicks the "Clear List" button to make sure they actually wanted to take that action.

Use Custom Dialogs
3:41
By creating a custom dialog, you can define your own layout to display in the main content area of the dialog. In this episode learn how to create and display a custom dialog with a layout defined in your xml resources.

Use Progress Indicators
5:39
Progress indicators fill the time with a moving indicator on the screen, reassuring the user that the app has registered the request and is working on it. Learn how to display and add progress indicators to your app.

Use Snackbars
4:43
A Snackbar is a useful little panel that pops up at the bottom of the screen to display a short piece of feedback to the user. It can either persist until dismissed by the user or show for a set amount of time. In this episode learn how to create and display snackbars to your salad app so the user can reverse an "Add fruit" action.

Create & Display Toasts
2:36
Toasts are the simplest pop-up messages. They are unobtrusive, short-lived, wrap around their content, and display at the bottom of the screen. In the final episode of this course, learn how to create and display toasts to your user.

Who is this for?
This course is for beginner level Android developers who want to learn more about visual feedback in Android.

Covered concepts
Simple Dialogs
Confirmation Dialogs
Alert Dialogs
Custom Dialogs
Progress Indicators
Snackbars

Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/9b1a5e15961c138d8d6cee658079c6d1/owmd0.Visual.Feedback.Dialogs.Snackbars..Toasts.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/df5D74B272bcf081/owmd0.Visual.Feedback.Dialogs.Snackbars..Toasts.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/AE25B85EA3360B9/owmd0.Visual.Feedback.Dialogs.Snackbars..Toasts.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Artificial Intelligence with Python

e50b28436503feb1aa34a8cbe4bcf40d.jpeg


Artificial Intelligence with Python
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.5 GB | Duration: 6h 16m
This course is a comprehensive understanding of AI concepts and its application using Python and iPython​

What you'll learn
Students will learn about Artificial Intelligence AI search algorithms, Heuristic Genetic algorithms, Scikit-learn module
Learn Predictive Analysis, Random Forest, Class Imbalance, Grid Search
Adaboost Regressor, Affinity Propagation Model, Clustering Quality and Gaussian Mixture Model
Applications of AI, Problem solving, AI search algorithms, Informed (Heuristic) Search, Strategies Local Search Algorithms, Learning System, Common Sense Genetic

Description
Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This course is a comprehensive understanding of AI concepts and its application using Python and iPython.

The first idea of artificial intelligence was given by scientist Mr. Alan Turing around the time of the second world war. He suggested building a machine that can mimic the understanding of human intelligence and act like a human. Artificial Intelligence today is used in all fields of work specifically banking, insurance, manufacturing, retail, logistics and so on. Its application in medical diagnosis, robots, remote sensing, etc. is a high state of the art. AI as a subject includes the use of computer science, mathematics, statistics and domain expertise. AI has great advantages and some of them are mentioned below:

It provides greater precision and accuracy on detection and prediction

Robots trained on AI can be used to do the works which are difficult for us

AI has created newer technological breakthroughs in our life

Fraudulent activities such as credit card transactions have become easier with AI technologies

AI can be used in time-consuming tasks and it can save a lot of time by becoming more efficient.

The training will include the following;

What is Artificial Intelligence?

Intelligence

Applications of AI

Problem solving

AI search algorithms

Informed (Heuristic) Search Strategies

Local Search Algorithms

Learning System

Common Sense

Genetic algorithms

Expert Systems

Scikit-learn module

Who this course is for:
Students who want to make a career in AI and ML: If you want to work on the cutting-edge technologies and develop game-changing software, you need to know AI.
Professionals who want to switch to this field: Bored in basic software jobs or are not seeing any growth, switch to AI and you can thank me later for the advice.
Project owners and managers who want to set up a machine learning team: Growing your team and need to know what these AI and ML things are, learn through this online artificial intelligence course.
Startup founders and incubator: You want to build the next big thing in AI, lets first get the basics right. You can learn several fundamental ideas through this artificial intelligence training.

Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/b3543c30f75acc1686e985733c52dd39/qauae.Artificial.Intelligence.with.Python.part1.rar.html
https://rapidgator.net/file/4a11290962cc5e9546e9e371f6b21e4a/qauae.Artificial.Intelligence.with.Python.part2.rar.html
https://rapidgator.net/file/1a84a89d23511d4bd7245b5735f978f2/qauae.Artificial.Intelligence.with.Python.part3.rar.html
https://rapidgator.net/file/b2f167078cce6b93fd4c04d5a7018fe5/qauae.Artificial.Intelligence.with.Python.part4.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/4765f63Bf1f8dc30/qauae.Artificial.Intelligence.with.Python.part1.rar
https://uploadgig.com/file/download/e201f8f0fe1020Ed/qauae.Artificial.Intelligence.with.Python.part2.rar
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https://uploadgig.com/file/download/C7b1131011756ab6/qauae.Artificial.Intelligence.with.Python.part4.rar

[b]nitroflare_com[/b]:
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https://nitroflare.com/view/3A311BD6FFC173F/qauae.Artificial.Intelligence.with.Python.part2.rar
https://nitroflare.com/view/A3D352ED40F6E65/qauae.Artificial.Intelligence.with.Python.part3.rar
https://nitroflare.com/view/A4A4FC2F5D73EDF/qauae.Artificial.Intelligence.with.Python.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Artificial Intelligence with Python - Udemy

3b9490e5c8a1da73ed63c026256d039c.jpeg

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.5 GB | Duration: 6h 16m
This course is a comprehensive understanding of AI concepts and its application using Python and iPython​

What you'll learn
Students will learn about Artificial Intelligence AI search algorithms, Heuristic Genetic algorithms, Scikit-learn module
Learn Predictive Analysis, Random Forest, Class Imbalance, Grid Search
Adaboost Regressor, Affinity Propagation Model, Clustering Quality and Gaussian Mixture Model
Applications of AI, Problem solving, AI search algorithms, Informed (Heuristic) Search, Strategies Local Search Algorithms, Learning System, Common Sense Genetic

Description
Artificial intelligence is the simulation of human intelligence through machines and mostly through computer systems. Artificial intelligence is a sub field of computer. It enables computers to do things which are normally done by human beings. This course is a comprehensive understanding of AI concepts and its application using Python and iPython.

The first idea of artificial intelligence was given by scientist Mr. Alan Turing around the time of the second world war. He suggested building a machine that can mimic the understanding of human intelligence and act like a human. Artificial Intelligence today is used in all fields of work specifically banking, insurance, manufacturing, retail, logistics and so on. Its application in medical diagnosis, robots, remote sensing, etc. is a high state of the art. AI as a subject includes the use of computer science, mathematics, statistics and domain expertise. AI has great advantages and some of them are mentioned below:

It provides greater precision and accuracy on detection and prediction

Robots trained on AI can be used to do the works which are difficult for us

AI has created newer technological breakthroughs in our life

Fraudulent activities such as credit card transactions have become easier with AI technologies

AI can be used in time-consuming tasks and it can save a lot of time by becoming more efficient.

The training will include the following;

What is Artificial Intelligence?

Intelligence

Applications of AI

Problem solving

AI search algorithms

Informed (Heuristic) Search Strategies

Local Search Algorithms

Learning System

Common Sense

Genetic algorithms

Expert Systems

Scikit-learn module

Who this course is for:
Students who want to make a career in AI and ML: If you want to work on the cutting-edge technologies and develop game-changing software, you need to know AI.
Professionals who want to switch to this field: Bored in basic software jobs or are not seeing any growth, switch to AI and you can thank me later for the advice.
Project owners and managers who want to set up a machine learning team: Growing your team and need to know what these AI and ML things are, learn through this online artificial intelligence course.
Startup founders and incubator: You want to build the next big thing in AI, lets first get the basics right. You can learn several fundamental ideas through this artificial intelligence training.

Screenshots

43cc45ed084c163b39af2b49d6f3af79.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/7940a6f7b2713f9da89cd804dc305fef/fme42.Artificial.Intelligence.with.Python..Udemy.part1.rar.html
https://rapidgator.net/file/a990f237c38d826eef1f5f6c50c312c7/fme42.Artificial.Intelligence.with.Python..Udemy.part2.rar.html
https://rapidgator.net/file/3576af9c0f311fcfe4f106eff0deabe2/fme42.Artificial.Intelligence.with.Python..Udemy.part3.rar.html
https://rapidgator.net/file/32f5337da45d090fdf51876b88fe010c/fme42.Artificial.Intelligence.with.Python..Udemy.part4.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/e34b5273039d367c/fme42.Artificial.Intelligence.with.Python..Udemy.part1.rar
https://uploadgig.com/file/download/7e0B64e7251a3f10/fme42.Artificial.Intelligence.with.Python..Udemy.part2.rar
https://uploadgig.com/file/download/2003aa4e4311738F/fme42.Artificial.Intelligence.with.Python..Udemy.part3.rar
https://uploadgig.com/file/download/6fb60848eE2a845c/fme42.Artificial.Intelligence.with.Python..Udemy.part4.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/0E40B5B0583ADBE/fme42.Artificial.Intelligence.with.Python..Udemy.part1.rar
https://nitroflare.com/view/29355A2CB974E21/fme42.Artificial.Intelligence.with.Python..Udemy.part2.rar
https://nitroflare.com/view/EF34BDC7B6EE8AE/fme42.Artificial.Intelligence.with.Python..Udemy.part3.rar
https://nitroflare.com/view/062D90ED8513BC6/fme42.Artificial.Intelligence.with.Python..Udemy.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
AWS Solutions Architect Associate Certification Crash Course

a01a8cd795d0d7e68e0124b1e11f1216.jpeg

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 4.47 GB | Duration: 14h 13m​

What you'll learn
Identify Use Cases for AWS
Monitoring and Management of your AWS cloud resources
Deployment of AWS Cloud Resources
Full Understanding of the AWS Services portfolio tested on the Solutions Architect Exam
Full Coverage of the AWS Solutions Architect Exam Objectives
Requirements
AWS Access (Free Tier will work)
1 Year of AWS Experience very helpful but not necessary
Description
In this crash course we will start with a broad overview of the AWS platform and then deep dive into the objectives of the AWS Exam Objectives.

We will also be going into all the AWS Services that will be tested such as EC2, S3, CloudFront, Auto Scaling, ELB, RT 53, RDS, RedShift, DynamoDB, EMR, VPC, Budgets, Trusted Adviser, etc

The course covers the full objectives for the AWS Certified Solutions Architect -Associate Exam (SAA-002) Course covers services around the following areas.

Section 1 - AWS Certification Overview

Section 2 - Domain 1 Design Resilient Architectures

Section 3 - Domain 2 - Design High Performing Architectures

Section 3 - Domain 2 - Design High Performing Architectures

Section 4 - Domain 3 -Design Secure Applications and Architectures

Section 5 - Domain 4 - Design Cost Optimized Architectures

Section 6 - Exam Preparation and Closeout

AWS is a significant competitor in the cloud computing world and learning AWS as an IT Professional is critical to your career. This course was designed for beginners.

Are there any course requirements or prerequisites?

· Someone new to AWS

· Someone with under 1 year of cloud experience

What will students learn in your course?

· Identify Use Cases for AWS

· Basic Services of AWS such as EC2, S3, Cloud IAM and More

· Monitoring and Management or your cloud resources

· Certification Options

· Additional Resources to learn more.

Course provides downloadable content, demos and whiteboards to advance your learning.

550 Pages of content included

70 Test Tips Slides.

Demos and Whiteboards

Practice Questions and with Answers/Explanations

Free additional resources

TechCommanders is an online training platform for both aspiring and veteran IT professionals interested in next generation IT Skills.
TechCommanders is led by Joseph Holbrook, a highly sought-after technology industry veteran.

Techcommanders offers blended learning which allows the students to learn on demand but with live training.

Courses offered are used to prepare students to take certification exams in Cloud, DevOps, IT Security and Blockchain.

Techcommanders was established in Jacksonville, Florida in 2020 by Joseph Holbrook, both a US Navy Veteran and a technology industry veteran. Techcommanders, Advancing your NextGen Technology Skills.

Who this course is for:
Someone wanting to obtain a full understanding of the spectrum of exam objectives
Someone wanting to get certified in AWS Technologies

Screenshots

8b86d7f5e4f2b59cdd9c3177271b39fe.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/aa7530259271732df2541d75ba5f0769/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part1.rar.html
https://rapidgator.net/file/051b4f367984913bdfa6b686fcf37b05/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part2.rar.html
https://rapidgator.net/file/a0cc98fe7ac1e4990f41c4e089ed3d93/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part3.rar.html
https://rapidgator.net/file/3aa2e67a7bdf34ad864491c221da2173/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part4.rar.html
https://rapidgator.net/file/a8e9cabc627790112a25c243e7b942f8/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part5.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/e08312f03cdB1c25/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part1.rar
https://uploadgig.com/file/download/32a4C045F68b38d8/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part2.rar
https://uploadgig.com/file/download/50bdc845797d70A0/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part3.rar
https://uploadgig.com/file/download/cC44C6807b724956/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part4.rar
https://uploadgig.com/file/download/f05de447BF16Bfd3/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part5.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/B4FA92A6892C824/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part1.rar
https://nitroflare.com/view/770E2F6A0BAFB06/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part2.rar
https://nitroflare.com/view/A365A82BCDD4DE4/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part3.rar
https://nitroflare.com/view/C54B1BBA57F8172/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part4.rar
https://nitroflare.com/view/6DC9CBAFB61CD05/suxh6.AWS.Solutions.Architect.Associate.Certification.Crash.Course.part5.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Deploy a Serverless Django app on Google App Engine

9fa058e34996f8f3fcae1c75fa231ea4.jpeg

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 2.85 GB | Duration: 3h 24m
Create a Django app with Docker and deploy it to Google Cloud using Google App Engine, Datastore, & Secret Manager.​

What you'll learn
How to use Serverless technology
How to use Google App Engine
How to use Google Cloud Datastore
How to use Google Cloud Secret Manager
How to setup a Django project using Docker
How to build a Django app

Description
Welcome to our course: Create and Deploy a Django app to Serverless Google App Engine!

This is a concise, project-based course that will teach you how to deploy Django to Google App Engine.

Serverless technology is a new concept which is quickly gaining ground.

The benefits of Serverless is that there are no servers for you to manage, which saves a huge amount of time when setting up and maintaining projects.

This means developers can spend more time building bespoke functionality for their application and less time managing infrastructure. Woohoo!

In this course you'll learn how to deploy Django to one of the most popular Serverless technologies available: Google App Engine. You'll also learn how to use a suite of Google Cloud technologies such as Datastore and Secret Manager.

During the course you'll be creating a URL Shortener with Django, using Docker as a development environment and Datastore as a database.

We'll be following all the best practices such as:

Creating a development environment using Docker

Writing unit tests with Test Driven Development (TDD)

Setting up a local Datastore emulator

Using Secret Manager to protect sensitive config values

Managing static files

This is an advanced level course that assumes previous experience with Django and Docker.

Ready to deploy Django to Google App Engine, and learn all the bits and bobs in between? Let's go!

Who this course is for:
Mid-advanced Python developers looking to learn how to deploy to Google App Engine
Developers who have a Django app they wish to deploy to Google App Engine
Anyone looking to learn how to use serverless technology

Screenshots

52b23e7018ce790bf0f153e68a5ebae6.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/a4e2b2dd2a3d7b9b3223354ce71ce803/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part1.rar.html
https://rapidgator.net/file/c145c901b2743171e20c913ddb6facc0/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part2.rar.html
https://rapidgator.net/file/657bf385a1542e702ccfe3079e9ae40f/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part3.rar.html
https://rapidgator.net/file/88753fbac5035717f31e981fd73894ac/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part4.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/d78FcE07c9e9da85/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part1.rar
https://uploadgig.com/file/download/16d9B4fe647eE0db/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part2.rar
https://uploadgig.com/file/download/14f5E2d40eedAe1b/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part3.rar
https://uploadgig.com/file/download/5F1396E83e7fa3c3/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part4.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/7C0DBA62C266E4F/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part1.rar
https://nitroflare.com/view/F967D04438AC0E1/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part2.rar
https://nitroflare.com/view/EFD819516F87449/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part3.rar
https://nitroflare.com/view/A44FBC0D1210BA8/fqywt.Deploy.a.Serverless.Django.app.on.Google.App.Engine.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Fundamentals of Corporate Finance Management principals

0b2591437f0d6d2ad294a0266b79029d.jpeg

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 2.87 GB | Duration: 9h 57m​

What you'll learn
time value of money
corporate finance principals
capital budgeting principals
working capital management
stock valuations
interest rates and how it impacts cost of capital
financial statement analysis
Requirements
basic accounting
Description
Corporate finance deals with the capital structure of a corporation, including its funding and the actions that management takes to increase the value of the company. Corporate finance also includes the tools and analysis utilized to prioritize and distribute financial resources.

The ultimate purpose of corporate finance is to maximize the value of a business through planning and implementation of resources while balancing risk and profitability.

In this course, we will cover all essential fundamentals of corporate finance. Whether you are an MBA student or a working business professional in any industry and domain. Corporate finance skills are essential as corporate finance is one of the key aspects of the business.

Making financial decisions to enhance shareholders' return, managing working to enhance return on equity, valuing stock worth investing are necessary for every business manager.

this class was taught to MBA students and does not use much technical jargon but made it easy to follow by non-finance professionals.

After this class, you will be able to understand fundamental concepts behind capital budgeting decisions, how to make such decisions.

You will be able to explain key concepts in the valuation of stocks and how to manage working capital effectively.

Join in this class to learn a new concept in finance, you can post any question and answer if you need to ask.

The instructor of this class is a certified CPA and has over 30 courses already on UDEMY with 3.8 average stars rating.

Who this course is for:
managers and founders
business professionals
MBA students

Screenshots

3ac4e3a2f05ed9e9700ec2f041916765.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/4fbb2a31ac621c8ae6904caa79c8a127/xlmet.Fundamentals.of.Corporate.Finance.Management.principals.part1.rar.html
https://rapidgator.net/file/121673d0f3e811b5a9884d1e1f505f43/xlmet.Fundamentals.of.Corporate.Finance.Management.principals.part2.rar.html
https://rapidgator.net/file/d6cdbbba8422934cbe7dec94fd02ac37/xlmet.Fundamentals.of.Corporate.Finance.Management.principals.part3.rar.html

[b]nitroflare_com[/b]:
https://nitroflare.com/view/02D53859A01940D/xlmet.Fundamentals.of.Corporate.Finance.Management.principals.part1.rar
https://nitroflare.com/view/3D9B010E06C5D0B/xlmet.Fundamentals.of.Corporate.Finance.Management.principals.part2.rar
https://nitroflare.com/view/6AE59D6E95779D8/xlmet.Fundamentals.of.Corporate.Finance.Management.principals.part3.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Google Ads Mastery | Clear Search Certification #1 Attempt

d644ce4eea55d19365cf1351b9002346.jpeg

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.66 GB | Duration: 10h 55m
Learn Basic To Advanced Concepts Of Google Search Network | Get a Job Or Do Freelancing | Start Earning & Start Growing​

What you'll learn
Basic To Advanced Concepts Of Google Search Network
How To Make Profitable Campaign That Delivers Results
How To Clear Google Search Certifications In First Attempt
How To Optimize Google Ads Campaign On All Key Parameters

Description
Clear Google Ads Search Certification In First Attempt!

Make Your Resume & Start Applying For Jobs Or Do Freelancing.

Start Earning & Start Growing

Basic Requirements

All You Need Is A Laptop, Tablet Or Smartphone With An Internet Connection!

No Experience With Google Ads Required!

In this course you will learn:

How Google Search Works

How To Set Up Your Google Ads Account From Scratch

The Theory Behind Successful Online Advertising

What Keywords Are And How To Use Them To Your Advantage

How To Set Up Conversion Tracking And How To Track Phone Calls From Your Website

How To Track Sales, Revenue And Form Submissions Using Google Ads

How To Increase Quality Score And Decrease Your Cost Per Click

How To Structure Your Account, Campaigns, Ad Groups And Keyword Lists For Optimal Results

How To Analyze Keyword Performance & Work On Campaign Optimization

How To Monitor Your Campaign Performance On A Regular Basis

How To Spot Trouble In Your Account And What You Need To Do To Fix It

How To Understand Your Customers Need & Create Campaign Related To Same

How To Remarket To Your Customers To Boost Revenue

How To Practically Create Successful Campaign That Drive Sales & Profit

Learn To Create A Campaign From Scratch With All Learned Topics

Learn To Optimize a Google Search Campaign On All Key Metrics

Learn To Pass Google Ads Search Certification In First Attempt

Bonus Topics

Learn All Important Questions Asked In Exam & Prepare Mock Test

Google Ads Glossary With All Important Words Asked In Interview

Thank You For Learning Google Ads, The Worlds Best Search Marketing Platform!

I Am Confident That You Will Learn & Grow After Studying This Course!

Happy Learning!

Screenshots

4ae0d2a87bf9a46a54662f8ac2dbb28b.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/56d2cfc2036d94c0b615b489d6c075de/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part1.rar.html
https://rapidgator.net/file/e17e47f18a1590d5edb2d06ff33eec49/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part2.rar.html
https://rapidgator.net/file/f4d62b00bba347b13f919f4566274cc6/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part3.rar.html
https://rapidgator.net/file/2bbf198f52ec4e9ec398bcddbf166614/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part4.rar.html
https://rapidgator.net/file/2be4f298d0b1a78d5bde1f0a4994defe/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part5.rar.html
https://rapidgator.net/file/5741de263165f332293ea90c838f3fd0/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part6.rar.html

[b]nitroflare_com[/b]:
https://nitroflare.com/view/ED16E2976B2032B/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part1.rar
https://nitroflare.com/view/FE25FC52AF140F4/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part2.rar
https://nitroflare.com/view/C7AA4AE950833EE/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part3.rar
https://nitroflare.com/view/1FBABF8387719E0/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part4.rar
https://nitroflare.com/view/8B634E876FAB50B/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part5.rar
https://nitroflare.com/view/7A0E28D8E373A2A/xyudk.Google.Ads.Mastery..Clear.Search.Certification.1.Attempt.part6.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Keda.Z Post-Processing Online Class 2.0

ffbe8c526cd2fb4bdf37411aa41d3511.jpeg


Keda.Z Post-Processing Online Class 2.0
Video: .MP4, 1920x1012 | Audio: AAC, 48 kHz, 2ch | Size: 2.46 GB
Genre: eLearning | Language: English | Duration: 7hr 20m
Master KEDA.Z share skill, knowledge, experience with every Z.Global member.
It is going to be Practical, Effective & Resultable to your next level.


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/006d5247d1d698ab8178e0274f8fcb04/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part1.rar.html
https://rapidgator.net/file/e84fa921124ead0059470071f7c66c92/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part2.rar.html
https://rapidgator.net/file/942a048791cf3539ad35fd091f0813f8/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part3.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/4F1558737c0d3Ffb/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part1.rar
https://uploadgig.com/file/download/3F90b876a50c2902/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part2.rar
https://uploadgig.com/file/download/0c5c541a2e6c12c4/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part3.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/2D704A550FC4461/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part1.rar
https://nitroflare.com/view/4F1F428D48B1009/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part2.rar
https://nitroflare.com/view/06D34395BDE024D/4z0dk.Keda.Z.PostProcessing.Online.Class.2.0.part3.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Master HTML, CSS and Vanilla JS By Building 5 Projects

98a16fe035a9b274bfdde72be5926c4d.jpeg

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 73 lectures (10h 57m) | Size: 4.47 GB

Become advanced frontend web developer​

What you'll learn:
How To Work With HTML
How To Style Your Websites Using CSS
How To Make Your Websites Responsive To Different Screens Using CSS
How Add User Interaction To Your Websites Using Vanilla JS
How To Create Awesome Designs
How To Upload Your Project On Github
How To Deploy Your Websites
How To Use Custom Domain Name For Your Website

Requirements
Basics Of HTML
Basics Of CSS
Basics Of Javascript

Description
In this course you will learn how to create your own websites using HTML and CSS, and also how to make them interactive with users using Vanilla JS. We will start with simple projects and then we will dive into the more advanced projects. You will learn how to create beautiful websites and also how to make them responsive for every screen. Finally, after we complete our last project I am gonna show you how to deploy your applications using GitHub and Netlify, and also how to add your custom domain name to your website.

We will not use a CSS library, we are gonna create all the styles from scratch. The only additional library we are gonna use is the fontawesome to add icons to our website and we are gonna use the google fonts to make our website texts more beautiful.

This course covers everything you need to know to become a frontend developer. If you are a beginner and want to learn more on Web Development then this course is for you!

Course Projects:

Todo List

Analog Clock

Tic Tac Toe

Hangman

E-Commerce

What is covered in this course?

How to design your website and how to style it using HTML and CSS

How to use javascript to make the users interact with your website

How to display html elements dynamicaly using javascript in order to recude your HTML code

How to make your websites responsive to every screen

How to deploy your website

Who this course is for
People with basic knowledge of HTML, CSS or JS
People who want to learn how to create their own websites
People who want to learn how to design awesome websites

a0038f1098c82be560642a035d59e137.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/9e966f943dad783f72804ee5f2a295d7/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part1.rar.html
https://rapidgator.net/file/ba5f45373d641ae8c77c94aa77b7817e/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part2.rar.html
https://rapidgator.net/file/ca3658bb5aa4e892fc77dfb6181bea85/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part3.rar.html
https://rapidgator.net/file/e4476547a93459e2666c06c30072c766/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part4.rar.html
https://rapidgator.net/file/5cb7db291912db46d381430b86c2b553/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part5.rar.html

[b]nitroflare_com[/b]:
https://nitroflare.com/view/B568EA341C65CD3/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part1.rar
https://nitroflare.com/view/6222B1FF8D420D3/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part2.rar
https://nitroflare.com/view/8735D8DF2BDB4FF/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part3.rar
https://nitroflare.com/view/7EB65EF6C1FCAF8/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part4.rar
https://nitroflare.com/view/A16850C10EAAE4A/xrhlr.Master.HTML.CSS.and.Vanilla.JS.By.Building.5.Projects.part5.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Palo Alto Security Administrator - Part 1 PCNSA (EDU-210)

534e804f9c902e8834e043b62bcd1e56.jpeg

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 35 lectures (8h 43m) | Size: 3.34 GB

Palo Alto (in-depth topic explanation of PCNSA exam) - Firewall Essentials - (EDU-210)​

What you'll learn:
Security Operating Platform and Architecture, Initial Configuration, Interface Configuration, Security and NAT Policies, App-ID, Content-ID

Requirements
Students must have a basic knowledge of networking concepts including routing, switching, and IP addressing.

Description
In part 1 of this course you will learn in detail fundamentals about the Next-Generation FireWall.

We will start by looking at threat landscape and the techniques necessary to secure a network.

The next learning objective is how to setup the FireWall from scratch, including networking, Application Identification and Content-ID (AntiVirus, AntiSpyware, Vulnerability Protection, URL Filtering, File Blocking).

For each topic I will explain concepts and configuration and also demonstrate real life best practices and show you basic troubleshooting.

I have separated this course to be sold with voucher. So send me a message I will forward you the voucher for second part. Do not pay full price for second part.

Who this course is for
Palo Alto Networks administrators, security engineers, analysts, and operators

827cff9b198ea9c9f888d1310a43e8d8.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/fff1a97509f6c7587ec8ff19a9930a1c/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part1.rar.html
https://rapidgator.net/file/7dc1885f9695d717844d50b52c186e9b/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part2.rar.html
https://rapidgator.net/file/b832ca3af0f69d07488f8d6f3003ec1b/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part3.rar.html
https://rapidgator.net/file/082e5c83a3ec7a93e464b136e681c797/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part4.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/15ea8b64327a83bf/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part1.rar
https://uploadgig.com/file/download/e3b11011c346fb2b/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part2.rar
https://uploadgig.com/file/download/Eda360535bB57708/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part3.rar
https://uploadgig.com/file/download/b27A8A7168122dcd/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part4.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/82FB702EC62A591/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part1.rar
https://nitroflare.com/view/7A1F1E15A9AEF54/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part2.rar
https://nitroflare.com/view/4AB773C8C8510B8/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part3.rar
https://nitroflare.com/view/D298C6A18B639DA/loo2o.Palo.Alto.Security.Administrator..Part.1.PCNSA.EDU210.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Palo Alto Security Administrator - Part 2 PCNSA (EDU-210)

71491954e9ef07216a8095305076e327.jpeg

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 44 lectures (8h 31m) | Size: 3.25 GB

In-depth topic explanation of PCNSA exam - Firewall Essentials - (EDU-210)​

What you'll learn:
URL Filtering, Decryption, WildFire, User-ID, GlobalProtect, Site-to-Site VPNs, Monitoring and Reporting, Active/Passive High Availability

Requirements
Students must have a basic knowledge of networking concepts including routing, switching, and IP addressing.

Description
In part 2 of this course you will continue PCNSA course with look at URL filtering, Decryption and learn features like User-ID to determine who is accessing the internet and WildFire to reduce the number of zero-day attacks

For each topic I will explain concepts and configuration and also demonstrate real life best practices and show you basic troubleshooting.

Who this course is for
Palo Alto Networks administrators, security engineers, analysts, and operators

858ed90d3ce74a2a601af485e474bbbe.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/e918020bf0914b03a495da7dae022175/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part1.rar.html
https://rapidgator.net/file/348815337521f023f1954749d609c3a1/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part2.rar.html
https://rapidgator.net/file/a385a04efc949994e053ccdfd3c984af/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part3.rar.html
https://rapidgator.net/file/c3f365fc01accb8bc0dd9c7f1e0696a1/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part4.rar.html

[b]nitroflare_com[/b]:
https://nitroflare.com/view/809472305498249/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part1.rar
https://nitroflare.com/view/8D2F07AE0A9DBF2/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part2.rar
https://nitroflare.com/view/8C6AFD20D58DBAF/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part3.rar
https://nitroflare.com/view/B5D30FD122A6AC1/yj3gi.Palo.Alto.Security.Administrator..Part.2.PCNSA.EDU210.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Practical NodeMCU-ESP8266 IoT Course with Applications

3d966b7842e5dfed532f0d47710ac384.jpeg

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 lectures (10h 19m) | Size: 4.4 GB

Sensor Interfacing to NodeMCU, HTTP, MQTT, IoT Server- ThingSpeak, AWS and Node Red on Windows and AWS​

What you'll learn:
NodeMCU- ESP8266 - Sensor Interfacing and uploading data to IoT Servers
Controlling devices connected to Node MCU from IoT servers and android APP
Build apps on Node Red and upload data to it and control devices connected to NodeMCU
Using IoT Protocols like HTTP and MQTT and Implementing on Node MCU
Hardware Connections of all Sensor Modules explained with Coding in Arduino IDE

Requirements
No Requirements. Anyone can learn it
The course is designed in a way that anyone without any knowledge can learn all the concepts

Description
Course Highlights - Node MCU Basics and Installation on Arduino IDE, Digital and Analog Sensor Interfacing to Node MCU, Sensor data upload to Thingspeak Server, MQTT Protocol and Sensor Data upload to MQTT Broker, Node Red and creating Apps on Node Red and Data upload from Node MCU to the apps.

This Course can be understood by anyone without any prior knowledge on Node MCU or Embedded systems or IoT. Everything is explained from the basics including the hardware interfacing and the software coding.

This course starts with the basics of Node MCU, Installing Arduino IDE and libraries required for Node MCU. The Digital and Analog sensors are Interfaced to Node MCU and the working of the sensors and the required code for that is explained. Sensors like DHT and Ultrasonic sensors are also Interfaced to NodeMCU. The sensor data is uploaded onto the Thingspeak Server using HTTP GET and POST requests. MQTT Protocol is explained in detail with practical use cases and Implemented on Node MCU. Installation of PubSubClient library is shown on the Arduino IDE and then used to upload the sensor data to the MQTT Broker. Node red is taken up as the next topic and the course is ended with uploading data from NodeMCU to Node Red.

End to end Applications are shown with hardware interfacing on Node MCU and coding on Arduino IDE. Applications related to data upload from DHT sensors andUltrasonic sensors are shown and Home automation application which controls the appliances connected to the relay is also shown in three different types. Controlling devices from the MQTT Box application, from Android App and from Node Red app is also shown.

Who this course is for
Industry Professionals who want to Learn IoT Concepts on Node MCU
Professionals who want to excel as IoT product designers in their careers
Beginner IoT Developers who want to learn all the concepts related to IoT and apply them using Node Red
Students who want to learn about Node MCU for their Projects
Hobbyists who want to work on NodeMCU and create amazing projects

bb3f68d6505db55eab650c2c08d81f17.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/f191b1c786c460eab0057619ea3e439a/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part1.rar.html
https://rapidgator.net/file/e5dac53d756561480185d00d5faa220b/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part2.rar.html
https://rapidgator.net/file/0b010e372fa97788aec5e63df9699568/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part3.rar.html
https://rapidgator.net/file/4b704c3aa702bf5adb9f86f8ce664513/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part4.rar.html
https://rapidgator.net/file/90d36b1a15e24e56af556786b4f16ef4/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part5.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/97d9eA6877778a0C/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part1.rar
https://uploadgig.com/file/download/C4732873851b7279/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part2.rar
https://uploadgig.com/file/download/17800d6391787bdb/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part3.rar
https://uploadgig.com/file/download/eCD716a414fFAca3/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part4.rar
https://uploadgig.com/file/download/9d51dE7725Dc7390/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part5.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/1AD5169FDC15CB3/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part1.rar
https://nitroflare.com/view/D33D6827A97F644/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part2.rar
https://nitroflare.com/view/CEE212FD69BBE68/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part3.rar
https://nitroflare.com/view/11DE598A9BA2CD0/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part4.rar
https://nitroflare.com/view/362309BD8372E58/m3s8o.Practical.NodeMCUESP8266.IoT.Course.with.Applications.part5.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
Predictive Modeling with Python

7348680984a950c59c3312c2e3640ec0.jpeg

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 3.54 GB | Duration: 9h 25m
Think with a predictive mindset and understand well the basics of the techniques used in prediction with this course​

What you'll learn
Learn the predictive modeling in python, linear regression, logistic regression, the fitting model with a sci-kit learn library, the fitting model with stat model library, ROC curves, backward elimination approach, stats model package, etc.
You will be guided through the installation of the required software. Data Pre-processing, which includes Data frame, splitting dataset, feature scaling, etc. You will gain an edge

Description
Predictive Modeling is the use of data and statistics to predict the outcome of the data models. This prediction finds its utility in almost all areas from sports, to TV ratings, corporate earnings, and technological advances. Predictive modeling is also called predictive analytics. With the help of predictive analytics, we can connect data to effective action about the current conditions and future events. Also, we can enable the business to exploit patterns and which are found in historical data to identify potential risks and opportunities before they occur. Python is used for predictive modeling because Python-based frameworks give us results faster and also help in the planning of the next steps based on the results.

Our course ensures that you will be able to think with a predictive mindset and understand well the basics of the techniques used in prediction. Critical thinking is very important to validate models and interpret the results. Hence, our course material emphasizes on hardwiring this similar kind of thinking ability. You will have good knowledge about the predictive modeling in python, linear regression, logistic regression, the fitting model with a sci-kit learn library, the fitting model with stat model library, ROC curves, backward elimination approach, stats model package, etc.

In this course, you will get an introduction to Predictive Modelling with Python. You will be guided through the installation of the required software. Data Pre-processing, which includes Data frame, splitting dataset, feature scaling, etc. You will gain an edge on Linear Regression, Salary Prediction, Logistic Regression. You will get to work on various datasets dealing with Credit Risk and Diabetes.

Who this course is for:
This Predictive Modeling with Python Course can be taken up by anyone who shares a decent amount of interest in this field. The earlier someone starts the further they can reach. In the case of students who are pursuing a course in statistics, or computer science graduates it is a very good opportunity to direct your career in that direction. As this is a much demand skill every IT professional is looking for a good switch and entering the domain of predictive analysis.
Data Analyst, Data Scientist, Business Analyst, Market Research Analyst, Quality Engineer, Solution Architect, Programmer Analyst, Statistical Analyst, Statistician

Screenshots

73f97f01311229ec531ef49118209fc4.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/848c598efac45759cde901abb25505af/tnqvb.Predictive.Modeling.with.Python.part1.rar.html
https://rapidgator.net/file/8514652f99475efccd11a50d76c05a23/tnqvb.Predictive.Modeling.with.Python.part2.rar.html
https://rapidgator.net/file/0f8bcbb841b322b8ca4b49aca4980a6c/tnqvb.Predictive.Modeling.with.Python.part3.rar.html
https://rapidgator.net/file/ab20fe0b950e5014429644c8f1ee8831/tnqvb.Predictive.Modeling.with.Python.part4.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/463606cfD1eb37d4/tnqvb.Predictive.Modeling.with.Python.part1.rar
https://uploadgig.com/file/download/7142E0aA5eE5bdb2/tnqvb.Predictive.Modeling.with.Python.part2.rar
https://uploadgig.com/file/download/203C7360C90cc727/tnqvb.Predictive.Modeling.with.Python.part3.rar
https://uploadgig.com/file/download/8019babeb26BDa2d/tnqvb.Predictive.Modeling.with.Python.part4.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/746EB796F5D94CE/tnqvb.Predictive.Modeling.with.Python.part1.rar
https://nitroflare.com/view/E97E9DDC26EBE2F/tnqvb.Predictive.Modeling.with.Python.part2.rar
https://nitroflare.com/view/1D88E376138A42B/tnqvb.Predictive.Modeling.with.Python.part3.rar
https://nitroflare.com/view/7B48A0F0909ED09/tnqvb.Predictive.Modeling.with.Python.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
RayWenderlich - How To Make An App Like Instagram in iOS

bd4c9cbffdf6211676617beb5ffb44df.jpeg

Jerry Beers, Lea Marolt Sonnenschein | Duration: 4h 11m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 3,12 GB | Language: English + SUB​

Have you ever wanted to build an app like Instagram, from architecture to coding to the back-end server, but weren't sure where to start?

In this course you will find out how to put all the pieces together to create an app from scratch.

Who is this for?

Beginner to intermediate developers wanting to see how different concepts come together to make a complete app.

Covered concepts

SwiftUI, Networking, Architecture, Unit Testing, Combine, SwiftUI/UIKit interop, Custom photo capture UI, Server-side Swift, Core Image

ef79d71256d988291068f0ab11d14213.jpeg


Download link:​
Код:
[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/c4febdf9f097b4a1156ebe43e3e84750/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part1.rar.html
https://rapidgator.net/file/a02ed922648d51d852cd136a2da150fc/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part2.rar.html
https://rapidgator.net/file/b96aa76aaf1a94c99864db4863d332e7/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part3.rar.html
https://rapidgator.net/file/cc0a2f2257c59268545fe4ae652a7ba0/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part4.rar.html

[b]uploadgig_com[/b]:
https://uploadgig.com/file/download/D5B79f9f322b45b1/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part1.rar
https://uploadgig.com/file/download/3B79a06b003693E0/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part2.rar
https://uploadgig.com/file/download/c9Eb8eb20dDc79F9/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part3.rar
https://uploadgig.com/file/download/1d3b507Bef3a709a/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part4.rar

[b]nitroflare_com[/b]:
https://nitroflare.com/view/208D8DCCF798CBD/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part1.rar
https://nitroflare.com/view/8648E9992A40A09/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part2.rar
https://nitroflare.com/view/D16D2760F3102DB/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part3.rar
https://nitroflare.com/view/44C2617CB556A3C/9n37v.RayWenderlich..How.To.Make.An.App.Like.Instagram.in.iOS.part4.rar[/center]

Links are Interchangeable - No Password - Single Extraction​
 
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