All mitsumi'1s Applications !! (updated daily)

[mitsumi1]

Animate a Rocket Launch: Smoke & Fire Simulation in Blender

Animate a Rocket Launch: Smoke & Fire Simulation in Blender
MP4 | Video: h264, yuv420p, 1280x720 | Audio: aac, 48000 Hz | Duration: 1h 21m | 1.1 GB
Genre: eLearning | Language: English + Sub
Create a Short film Animation of a Rocket Launch​

What you'll learn
Learn Smoke and Fire Simulation in Blender
Learn Modeling Techniques by Creating a Space Station

Requirements
Have Blender Downloaded in your ComputerHave a Decent GPU that can handle the Fluid Baking
Description
In this course we will create a short film animation of a Rocket Launch. This is a Step by Step Guide to Learn Fluid Simulation including fire & smoke in Blender 2.9
Create a Short film Animation of a Rocket Launch
We will learn modeling:
- Section 1: Modeling
We will learn to model a space station, starting by the base. Adding the supporting column on the left side. Then we will import the Rocket and put it in place
- Section 2: Texturing
We will create different shaders: Metal and assign them to our space station
We will fix the "Blury" smoke by create a specific shader for the smoke to make it look high quality
- Section 3: Fluid Simulation
We will Make Fire & Smoke, then we will add forces to affect our fire & smoke
- Section 4: Animation
We will animate our spaceship going up to the space. We will use the graph editor to control the speed of our rocket
- Section 5: Lighting
We will experiment with the new HDRI map in blender 2.9, changing the altitude to have the space effect
- Section 6: Rendering
After Baking our smoke & fire simulation & animating our rocket going up with the camera pointing to it. We will render our Animation and Achieve our final result
\n
Who this course is for:3D Designers who want to Learn BlenderAnimators who want to improve their 3D skills

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/b11b11c828c1dac0d840c8dfe4a4c449/1mmg6.Animate.a.Rocket.Launch.Smoke..Fire.Simulation.in.Blender.rar.html

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[mitsumi1]

Binary Trees - Crash Course

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.95 GB | Duration: 5h 12m​

What you'll learn
Binary Tree Implementation
Advanced Data Structures
Requirements
Yes, A basic knowledge in Programming and Linear Data Structures
Description
Welcome to my crash course on Binary Trees which is one of the pivotal concepts in Advanced Data Structures and Algorithms!

In this course, we'll learn

1. What is Recursion? (Recursion is a prerequisite and a very useful tools to implement binary Trees)

2. Tricks to write recursive functions!

3. Tracing recursive functions

4. Converting an iterative solution to a recursive solution.

5. Basic Tree terminologies

6. Implementation of Binary Trees using LinkedLists

7. The basic traversal algorithms - How to code them?

8. Finding the height of the Tree - Algorithm, Code, Tracing.

9. How to find the Maximum and Minimum elements of a tree?

10. Finding the sum of all nodes in a tree

11. Level Order Traversal - Using Brute Force Approach and Improved Solution using Queue Data Structure.

12. Printing the left View of a Binary Tree

13. Printing the Right View of a Binary Tree

14. Understanding Hashmaps in C++ STL

15. Implementation of Vertical Order Traversals using Hashmaps

16. Printing all the leaf nodes of a Binary Tree using any one of the Traversal algorithms.

17. Printing the cousin nodes of a node in a Binary Tree.

18. Binary Search Trees - Explanation

Through these standard Tree problems, you'll easily be familiarized on implementing Trees in C or C++. Some ideas were also provided to implement the same using some other languages using Python too. So, if you're not comfortable in using C or C++, It's not a problem

Who this course is for:
Beginner Programmers

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/bc611d798619c10291d8bf65096855d1/99m87.Binary.Trees..Crash.Course.part1.rar.html
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[mitsumi1]

CCSK Cert Prep: 4 Data Security for Computing

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Intermediate | Genre: eLearning | Language: English + srt | Duration: 1h 49m | Size: 243.3 MB
​

Data privacy is vitally important, and with the growth of cloud adoption and reported data breaches, organizations must take careful steps to protect sensitive data. In this course, instructor Daniel Lachance helps you prepare for the data security portion of the CCSK exam and build your understanding of data privacy and protection. Daniel begins with the data security lifecycle, showing you how it applies both on-premises and in the cloud. He explains cloud storage solutions, cloud encryption solutions, and the Cloud Controls Matrix (CCM). Next, Daniel goes over tools and techniques to help you keep your cloud storage secure. He discusses ways that cloud databases can support secure cloud solutions and ways that you can keep your cloud databases secure. Daniel concludes with useful details on encryption keys, including how to deploy a Microsoft Azure key vault, how to encrypt managed disks, and how to protect data transfers with SSH public key authentication.

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/082ef0d1462cb0add844acd7a7802a00/ht2z1.CCSK.Cert.Prep.4.Data.Security.for.Computing.rar.html

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[mitsumi1]

CodeCourse - Laravel Multi-tenancy Basics

MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 10 Lessons (43m) | Size: 216.6 MB
​

Create multi-database, subdomain separated tenants in a Laravel application with the help of the Tenancy for Laravel package. This series will have you up and running, and ready to start building.

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/f7a5674649aa32dc8fe02323012ce0fe/cguf5.CodeCourse..Laravel.Multitenancy.Basics.rar.html

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[mitsumi1]

Dynamic Programming for Solving Problems

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.29 GB | Duration: 4h 2m​

What you'll learn
Dynamic Programming
Recursion
Memoization
Requirements
Yes, A basic knowledge in Programming
Description
Welcome to my course on 'Dynamic Programming for Solving Problems'

This course is specifically designed for those who have started Programming a few months ago. You are expected to know the basics of Programming like Conditional Statements, Loops etc. just to understand the implementation part. Yet, It is not going to be an integral part. Understanding the approach of Dynamic Programming will be our primary focus. We will be implementing the algorithm we have derived, in C++.

The problems that we will be solving in this course are:

1. 0-1 Knapsack Problem (A Complete Explanation having a 1 hour video)

2. Fibonacci Series using Dynamic Programming

3. Longest Common Subsequence Problem

4. Frog's Staircase to Heaven

5. Grid Walking Problem

6. Stock Buy Sell Problem

7. The Coin Change Problem

8. Range Sum Making Queries without updates.

Dynamic programming is both a mathematical optimization method and a computer programming method. If sub-problems can be nested recursively inside larger problems, so that dynamic programming methods are applicable, then there is a relation between the value of the larger problem and the values of the sub-problems. In the optimization literature this relationship is called the Bellman equation.

There are two ways in which we can apply the paradigm of Dynamic Programming:

1. Top down Approach

2. Bottom up Approach

What are you waiting for? Start Learning the course now!

Who this course is for:
Beginner Programmers
Beginner Software Developing Aspirants

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/637127622e87bbfac7f5e34b2d301805/tb7qz.Dynamic.Programming.for.Solving.Problems.part1.rar.html
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[mitsumi1]

Everything About Kali Linux OS

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.77 GB | Duration: 4h 6m​

What you'll learn
Kali Linux
Kali Linux Operating system
Requirements
You Need to have a PC with internet connection to download.
PC must have minimum of 8GB RAM and other basic requirements
Description
Welcome to this course,

In this course you will learn about the Kali Linux system that is the Kali Linux operating system in detail.....

We will not be going through every single tools on Kali Linux but we will be studying about that operating system and how to use it.

We will be going through installing Kali in PC as well as Virtual Machine and much more.

Go through the Introduction part to know more about the course so that you will know the content of the course and make a good decision to buy this course for you.

Here is some details about Kali Linux which is a PenTesting Distribution.

What is Kali Linux, and what is a Penetration Testing Distribution?

What is a penetration testing distribution? As legend tells it, years ago there was a penetration test in an isolated environment where the assessment team was not able to bring in any computers or have network access in or out of the target environment. In order to do the work, the first penetration testing distribution was born. It was a bootable Live CD configured with various tools needed to do the work, and after the assessment was completed the Live CD was shared online and became very popular.

Kali Linux has a direct lineage from this original distribution, running on through BackTrack Linux, and now is Kali Linux.

What are the makings of a great penetration testing distribution? What a penetration testing distribution is judged on has changed over the years. Originally it was just how many tools did it hold. Then it was did it have package management, and how often were they updated? As we have matured, so has the features that we need to provide. The true indication of a great Penetration Testing distribution is the selection of useful and relevant features that it offers security professionals. What kind of features are we talking about? We're happy you asked! We've made a short list of some of these Kali Linux features, and linked them to their respective sources.

Who this course is for:
Beginners to Kali Linux

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/c595719a418a7c52e3651bf202fe3697/arcwp.Everything.About.Kali.Linux.OS.part1.rar.html
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[mitsumi1]

FastAPI Full Stack Web Development (API + Webapp)

FastAPI Full Stack Web Development (API + Webapp)
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 1.75 GB | Duration: 3h 27m
This course is a guide to learn FastAPI.​

This course is a guide to learn FastAPI. FastAPI documentation is one of the best documentation. This course is for students who love videos as a medium to learn. We will be learning FastAPI with best practices. The Test-Driven Development goat ? will guide our development process. TDD is the way to think of the code before we actually write a piece of code. In this course we will be learning the following core concepts:

Creating APIs : We will implement the below endpoints:
Create Jobs
Retrieve
Update
Delete
List Jobs
User Authentication with basic security
Password will be hashed to provide additional security
We will use JSON Web Tokens to authenticate
Tokens won't be stored in LocalStorage or Cookies
Token will be stored in HttpOnly cookie
Version Control System
We will use GIT as our vcs
Github will be used to host our code
Creating web apps
We will use Jinja Templating Language
We will be working with several forms
Unit Testing
Tests will be written in Pytest
After each testing cycle, the Test database will be cleaned
Test Coverage
How not to write unit tests?
Permissions : A user who has not created the job, won't be able to delete it.
We will work with Postgres and monitor it using PgAdmin.
Fastapi provides us built-in OpenAPI docs, we will use the documentation to the fullest. The docs helps backend and frontend de

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/188509b254c82af4270272ac35176a5b/lm3rn.FastAPI.Full.Stack.Web.Development.API..Webapp.part1.rar.html
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[b]uploadgig_com[/b]:
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[mitsumi1]

Financial Analytics with Python

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 624 MB | Duration: 1h 42m
Get well versed with numerous financial as well as statistical formulas along with its practical analysis​

What you'll learn
The Candidate will be able to learn Statistical Techniques which are used in the Financial Analysis of a Company through this Financial Analytics Certification Course.
Learn all the basic Financial Jargons and terminologies used in the day to day working which is often used in the Office

Description
Financial Analytics refers to an in-depth understanding of the Business Financial Information and providing a different view to the Senior management for analytical purposes.

It is a Sub-set of Business Intelligence in any Company that works on extensive Data Crunching and preparing MIS Reports in multiple ways to address a particular issue.

It gives you the Complete Analysis of the Financial Data both Existing and Projected and helps the Management to answer every small question.

The Analytical tools used in the process are system driven and produce the best quality output as required by the Management to take an Overall View on the Business and Future Strategy.

Nowadays, Companies are giving more preference to the Business Intelligence Department and are appointing a Full-time Financial Analyst to analyze the Business and Financial performance of the Company and suggest measures for its improvements.

The Person appointed will work with all the Other Departments to collect relevant Financial Data that can be used in the Analytics to arrive at the desired outcome and Reports as suggested by the CFO or the Top Management.

The Candidate will be able to learn all the Modeling and Statistical Techniques which are used in the Financial Analysis of a Company through this Financial Analytics Certification Course. He will learn all the basic Financial Jargons and terminologies used in the day to day working which is often used in the Office. Working on various Models, he will have the Ready Financial models with him along with the Set formulas in Excel which can be used in the Company he will work in the future. At the end of this Financial Analytics Training Course, the Candidate will be an Expert in all the Financial, Analytical Techniques used in the Analysis including Statistical Data Analysis. It will help the Candidate to take up a Job as a Financial Analyst or a Business Analyst in the Business Intelligence Department of an MNC.

Who this course is for:
It refers to the Undergraduates or Graduates who are in the last year of college and willing to start a Career in Financial Analytics in the future. These are the ones who know very little about Financial Analytical Techniques and their Applications in the Practical World. Hence this would be the Foremost Target Audience for this Course as it would be very easy to convince them to take up this Financial Analytics Training Course in their Initial Stages of the Career.
It refers to the CA's, CS, MBA who are already working in a Corporate and are willing to enhance their Analytical Skills further. These are the ones who want to enhance their Analytical skills and have an additional Skill to their Kitty.
It refers to those who are working in a Corporate in a different Department and are willing to learn about Financial Analytics to Switch their Existing Role either in the same Company or in any other Company for a better profile and Compensation should take up this Financial Analytics Certification Course to brush up their Financial Analysis Skills and Excel in their Careers.

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/05b276d83b4f10d16b987133ccaed9f8/qqd80.Financial.Analytics.with.Python.rar.html

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[mitsumi1]

Frappe Framework 2021

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.18 GB | Duration: 3h 27m
Learn Frappe Framework from scratch​

What you'll learn
Frappe framework from scratch

Description
This course is designed for Beginner level frappe developers. Students can learn Frappe frame work from scratch.

Frappe, pronounced fra-pay, is a full stack, batteries-included, web framework written in Python and JavaScript with MariaDB as the database. It is the framework which powers ERPNext. It is pretty generic and can be used to build database driven apps.

The key difference in Frappe compared to other frameworks is that meta-data is also treated as data and is used to build front-ends very easily. We believe in a monolithic architecture, so Frappe comes with almost everything you need to build a modern web application. It has a full featured Admin UI called the Desk that handles forms, navigation, lists, menus, permissions, file attachment and much more out of the box.

Frappe Framework uses Python for the backend. It comes with a simple yet powerful ORM as an abstraction over CRUD operations. The default database is MariaDB. Postgres support is in beta. The basic programing knowledge in Python and JavaScript is required for doing in this course.

Syllabus cover both server side scripting using python and client side scripting java script.

The course start with a quick introduction to frappe frame work, installation of frappe in ubuntu system, frappe desk, doctypes in frappe, different client side scripting server side scripting.

Basic level knowledge in MySQL is helpful for understanding the data base concepts.

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/219182f7f74a30b2afd95581af6c3423/7932p.Frappe.Framework.2021.part1.rar.html
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[mitsumi1]

Intermediate Combine

Josh Steele | Duration: 0h 21m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 134 MB | Language: English + SUB​

Combine has a number of operators to help with handling network data, sharing resources with multiple subscribers, and managing errors. Once those are in place, you can perform unit tests on your Combine pipelines to make sure everything is running error-free.

Who is this for?

This course is useful if you already have a basic understanding of Combine, and are interested in learning about more advanced Combine features. If you are familiar with Swift's URLSession class, error handling, and Xcode testing, it will help you understand the examples.

Covered concepts

* Combine
* URLSession
* Testing
* Error Handling

Download link:​

[center][b]rapidgator_net[/b]:
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[mitsumi1]

Intro to Blender 2.8 for Game Art

Michael Kinsey | Duration: 1h 24m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 1,37 GB | Language: English​

In this course, Michael Kinsey gives a quick, working professional's overview of Blender 2.8. With almost 10 years of Blender modelling and learning under his belt, Michael's course is aimed at both beginner and high skill level creators who are interested in learning what Blender has to offer and getting quickly onboarded to version 2.8 with minimal downtime. Michael covers the most frequently used aspects of Blender that he touches daily in his role as a 3D Environment Artist.

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/765601d66879e902e3f0773486b7b2f4/k7db4.Intro.to.Blender.2.8.for.Game.Art.part1.rar.html
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[mitsumi1]

JKD: Body Weapon - Lock And Hold Security

Michael Wong | Duration: 3h 20m | Video: XviD 720x480 | Audio: MP3 44,1 kHz 2ch | 1,33 GB | Language: English​

Lock and Hold will give you the ability to end a fight through restraint rather than damage. Emphasizing the security aspects of the Body Weapon syllabus this DVD will teach you the techniques needed to successfully restrain an attacker quickly and safely. Using only a handful of techniques you will become highly proficient in them all and be able to apply them in many different situations. Also included are knife defence techniques and how to deal with the use of tools such as handcuffs in situations that warrant them. Training in fewer techniques at a higher level will give you the skill and confidence to apply what you know in any given situation, rather than knowing a lot of techniques but not being able to use them when you really need them. Training in real time and practicing on real people will prepare you for the real world better than any form!

Filmed with the latest technology and broken down for the purposes of learning this Body Weapon DVD will enhance your martial arts and give you yet one more tool to defend yourself with should the time come! Presented live by Master Wong, you will be guided step by step through over 3 hours of non-stop action footage. A must for both Security personnel and those who simply want to enhance their JKD, this DVD will give you exactly what you've

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/92373f7c910a80f0d0f9eb1b0adecc92/j599h.JKD.Body.Weapon..Lock.And.Hold.Security.part1.rar.html
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[b]uploadgig_com[/b]:
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[mitsumi1]

LaravelDaily - Practical Laravel Livewire from Scratch

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 25 Lessons (1h 23m) | Size: 1.45 GB

Interactive Web-pages without ANY JavaScript​

If you are a Laravel developer and don't really like to deal with JavaScript or Vue.js for some dynamic elements on your page, welcome. Laravel Livewire is exactly what you need, and in this 1.5-hour course you will learn:

- How to refresh a part of your page without reloading all the page
- How to validate form inputs in live-mode as user types
- How to edit data in a modal window
- And... most importantly... how to make a slide-show of cat pictures with a new picture every 5 seconds

All. Without. ANY. JavaScript.

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/a3586cf870f32c5b6694c4620bf22eaa/xilg0.LaravelDaily..Practical.Laravel.Livewire.from.Scratch.part1.rar.html
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[b]uploadgig_com[/b]:
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Links are Interchangeable - No Password - Single Extraction​

 

[mitsumi1]

Linear Algebra for Machine Learning

Linear Algebra for Machine Learning
MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 753 MB | Duration: 3h 17m
Mathematical Foundations​

What you'll learn
The applications to Machine Learning
The Fundamentals of Linear Algebra
Operations on a single matrices and multiple matrices
How to perform elementary row operations
Learn how to find the inverse Matrix
Learn how to solve systems of linear equations
Understand matrices as vectors and vector spaces
Will also study Linear combinations and span
As well as subspaces, null-space, basis, standard basis and more
Requirements
Familiarity with secondary-school-level mathematics.
Ability to perform basic mathematical operations on numbers and fractions.
Knowledge of how to solve linear equations.
Understanding of basic algebra concepts.
Description
Good data scientists are familiar with machine learning libraries and algorithms. It is akin to being an amazing pilot of an airplane, with skills that go beyond flying and borders an airplane mechanic. But to be a great data scientist, those skills will have to surpass the mechanics and thus require a greater understanding.

The great data scientist knows how those libraries and algorithms work under the hood. The great data scientist understands the mathematics behind the science. With the speed of technology, there may come a day when the algorithm itself replaces the data scientist. If we look at our original analogy, this would be akin to planes that truly fly themselves.

We are not there yet, but in this scenario the pilot becomes expensive and obsolete. However, the one person who is never obsolete is the engineer who designs the plane or the mechanic who fixes the plane. Linear Algebra is a cornerstone of machine learning. Linear Algebra not only helps improve an intuitive understanding of Machine learning. But Linear Algebra can help the machine learning engineer build better Machine Learning algorithms from Scratch or customize the parameters involved to optimize the algorithms. In this course you will learn about the Linear Algebra behind the Machine Learning Algorithm.

Who this course is for:
Students of Machine Learning
Students of Data Science
Students of Statistical Learning
Students of Linear Algebra

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/8890d0195ee64d494be61e5098fce06a/q16bj.Linear.Algebra.for.Machine.Learning.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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[mitsumi1]

Machine Learning using Python - Udemy

Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 1.31 GB | Duration: 3h 18m
Learn to create Machine Learning Algorithms in Python from Data Science experts. Machine Learning simplified with python​

What you'll learn
The students will learn What is Machine Learning. Its Intro - why its used, Data Science defined), Analytics Defined (Predictive, Prescriptive etc.,), Data Mining Flow(Phases defined - with Modeling phase that involves ML).
Also Learn the explanation on Data Set Supervised Learning, Unsupervised Learning, Classification Algorithms, Regression Algorithms.
Learn about Linear Regression, Logistic Regression, Naive Bayes Classifier, Anonymous Detection, Decision Trees, Random Forest, Neural Networks, K-Means Clustering Apriori algorithm.
Learn Feature Selection, Support Ventor Machine, Basic explanation on Use Cases Basic Functions defines (Cost function, likelihood function, normalization, trade off etc.,)
Learn Primary tools/ Softwares used for ML Python Packages for Machine Learning

Description
Machine learning is a scientific discipline that explores the construction and study of algorithms that can learn from data. Such algorithms operate by building a model from example inputs and using that to make predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. This training is an introduction to the concept of machine learning, its algorithms and application using Python.

The training will include the following;

What is Machine Learning? (Intro - why its used, Data Science defined)

Analytics Defined (Predictive, Prescriptive etc.,)

Data Mining Flow(Phases defined - with Modeling phase that involves ML

Explanation on Data Set

Supervised Learning

Unsupervised Learning

Classification Algorithms

Regression Algorithms

Linear Regression

Logistic Regression

Naive Bayes Classifier

Anonymous Detection

Decision Trees

Random Forest

Neural Networks

K-Means Clustering

Apriori algorithm

Feature Selection

Support Ventor Machine

Basic explanation on Use Cases

Basic Functions defines (Cost function, likelihood function, normalization, trade off etc.,)

Primary tools/ Softwares used for ML

Python Packages for Machine Learning

The target customers for this course are anyone who wants to learn about data and analytics, Data Engineers, Analysts, Architects, Software Engineers, IT operations and Technical managers. There is as such no Pre-Requisites. No prior knowledge of machine learning required. Basic knowledge of Python will be an added advantage.

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

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/916af7963cca566ad28cb9e16721f7ea/phmai.Machine.Learning.using.Python..Udemy.part1.rar.html
https://rapidgator.net/file/d5d2956525aaafa5f177f85a73fe7fcf/phmai.Machine.Learning.using.Python..Udemy.part2.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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Links are Interchangeable - No Password - Single Extraction​

 

[mitsumi1]

Microsoft SQL Server for Beginners and Intermediate

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 24 lectures (2h 32m) | Size: 464 MB

A complete comprehensive course in SQL queries using Microsoft SQL Server and the T-SQL language​

What you'll learn:
Complete SELECT statements
Filter data using WHERE clauses
Sort data with ORDER BY clauses
INNER JOIN, LEFT/RIGHT OUTER JOIN, and FULL OUTER JOIN
Database design and constraints
Aggregate functions
Filter data with HAVING clause and IN clause
Data types and functions to manipulate date
All basic query functions enough to get you to an advanced level

Requirements
I assume you have no knowledge of SQL or programming or databases

Description
Do you want to learn a SQL skills that can supercharge your career? If so, then this course is for you!

A complete comprehensive course in SQL queries using Microsoft SQL Server and the T-SQL language

This can be used like a SQL video bible and also as a complete course that will get you to an advanced level.

Structured Query Language. SQL is used to communicate with a database. Is the standard language for relational database management systems

As careers development in big data and business intelligence become increasingly popular it can be of use to have a good working knowledge of SQL in the workplace for data management and analysis.

I have spent 2 years working with SQL and big data in a FTSE100 listed company where I analysed big data, created queries and retrieved information that was used to successfully operate parts of the business. My course shows you how to use functions and commands and includes the correct syntax that you can see to be working on SQL server, one of the most popular database engines in the world.

You will have lots of video lessons shown by me to teach you the majority of the content whilst using Microsoft SQL so you will have the exact syntax needed and a reference if you need to ever come back to it.

Buy this course and learn at your own pace, or take notes and practice with SQL server using examples that I have shown so you can fully understand how to use SQL query language.

Who this course is for
Anyone who works with data, tables, or databases!
Those who work in organizations where the company typically uses Microsoft databases.
If you work in: marketing, finance, accounting, operations, sales, manufacturing, healthcare, financial services, or any other industry/function that collects information
Anyone that has used SQL server or wants to learn more about the queries and have a reference bible for it.
Someone who wants to learn skills that give them the potential to earn near SIX figures!

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/3f8917a366cf01778d01d74d4c02a991/t3zko.Microsoft.SQL.Server.for.Beginners.and.Intermediate.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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Links are Interchangeable - No Password - Single Extraction​

 

[mitsumi1]

Modeling an F1 Wheel with Autodesk Alias Subdivision

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Skill Level: Beginner + Intermediate | Genre: eLearning | Language: English + srt | Duration: 2h 6m | Size: 506.8 MB
​

Have you ever wanted to explore the world of concept modeling but didn't have the time to learn a new interface or application? With Autodesk expanding the capabilities of Alias to include subdivision modeling, you can now dive into concept development without having to learn a new interface or application. In this course, Veejay Gahir demonstrates a typical workflow by taking a sketch of a Formula 1 race car steering wheel and showing how to model and render a fully realized version in Alias. Veejay shows how to import the sketch, use subdivision (SubD) modeling techniques to create the basic shape, and add details like buttons and switches, and logos. With the capabilities of Alias coupled with the unique commands developed exclusively for subdivisions, Alias users can now use a familiar interface to learn a new skill.

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/41d7aaf02241a32ad9270a385b8368e5/wmq53.Modeling.an.F1.Wheel.with.Autodesk.Alias.Subdivision.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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[mitsumi1]

NFT Fundamentals - Buy, Create and Sell NFTs

MP4 | Video: h264, 1280x720 | Audio: AAC, 44100 Hz
Language: English | Size: 368 MB | Duration: 43m​

Enter the world of the Non-Fungible Tokens, learning not only the theory about it, since it's creation and relation with Blockchain, but also the practical part of how to create, sell and buy it.

If this is the first time you are studying about Non-Fungible tokens, there's no problem. The objective of this course is that you understand from scratch this new technology, and also manage it, on practice, through a step-by-step course. You are going to learn how to create your virtual wallet, what softwares, extensions and websites you need to use, and how it works, on practice.

In the end of the course, you are going to be able to mint, buy and sell your own Non-Fungible Tokens on the internet.

Screenshots

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/4b7bca64c9c9aa94448b1a42c4f4ebd9/ct4p7.NFT.Fundamentals..Buy.Create.and.Sell.NFTs.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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[mitsumi1]

RayWenderlich - Handling Keyboard & Pointer Interactions in SwiftUI

Catie Catterwaul | Duration: 0h 18m | Video: H264 1920x1080 | Audio: AAC 48 kHz 2ch | 104 MB | Language: English + SUB​

Learn how to handle the iOS keyboard, external hardware keyboards, and pointer interactions in a SwiftUI app.

Who is this for?

This course will be best for developers with some Swift and SwiftUI experience.

Covered concepts

* iOS Software Keyboard
* Keyboard Shortcut
* UIResponder
* Hover Effect

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/99206399da770802a24d661e77977621/a8b2k.RayWenderlich..Handling.Keyboard..Pointer.Interactions.in.SwiftUI.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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Links are Interchangeable - No Password - Single Extraction​

 

[mitsumi1]

Resizable Apps & Multi-Window Support in Android

RayWenderlich
Duration: 25m | Mar 30 2021 | Video: 1920x1080, 48kHz | 144 MB
Genre: eLearning | Language: English | Skill Level: Advanced​

This course will show you how to make your apps resizable and in turn support the multi-window mode in Android. Using this approach, you'll allow your users to multi-task by using multiple apps at the same time.

Resizable Apps & Multi-Window Support in Android
Learn About Multi-Window Support
2:08
FREE
Explore the multi-window mode in Android and why it's useful to users.

1
Set Up The Project
2:13
Learn about the app project you'll work on, what its structure is and how to set it up.

Enable The Resizable App Feature
3:04
Start by enabling the resizable app feature in the Android Manifest, and exploring how to use the multi-window mode.

Handle Multi-Window Lifecycle
3:33
Learn how to observe multi-window configuration changes and where to receive updates when the user resizes their app.

Implement Multi-Window Mode Checks
3:13
After implementing lifecycle handling for the multi-window mode, find out how to check if your Activity is in MWM.

Launch Activities In Multi-Window Mode
2:55
Learn how to launch new activities in multi-window mode and run multiple parts of your app at the same time.

Enable Drag & Drop Support: Part 1
5:36
Implement Drag & Drop support from the Android API, to enable data sharing between different screens.

Enable Drag & Drop Support: Part 2
2:36
Finish implementing the Drag & Drop support, by enabling global data drop feature of the API in another app.

Who is this for?
This course is for professional Android developers who are looking to enable multi-window support for their apps. Using multi-window support, you can run multiple applications at the same time, allowing your users to multi-task and be more productive.

Covered concepts
Resizable Apps
Multi-Window Support
Split-Screen/Freeform Mode
Multi-Winow Mode Lifecycle
Configuration Changes
Reactive Data Flow

Download link:​

[center][b]rapidgator_net[/b]:
https://rapidgator.net/file/7c2ed91a705d65c4374605381145ca5c/1tdle.Resizable.Apps..MultiWindow.Support.in.Android.rar.html

[b]uploadgig_com[/b]:
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[b]nitroflare_com[/b]:
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Links are Interchangeable - No Password - Single Extraction​