All mitsumi'1s Applications !! (updated daily) - Страница 3709

mitsumi1 · 15.04.2021, 13:33

Duration: 2h30m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 44.1 kHz, 2ch | Size: 1.25 GB
Genre: eLearning | Language: English
Covers all Essential Python topics and Libraries for Data Science or Machine Learning Beginner Such as numpy pandas

What you'll learn
The Student learn basic of python and data science libraries such as numpy, pandas , Descriptionting libraries like matDescriptionlib and seaborn , Descriptionly and cufflinks

Requirements
Their is no prerequisites

Description
Welcome to my course Basics Data Science with Numpy, Pandas, and MatDescriptionlib

In this course, we will learn the basics of Python Data Structures and the most important Data Science libraries like NumPy and Pandas with step by step examples!

In this course, we will learn step by step with starting with basics understanding of jupyter notebook and how to write a code in jupyter notebook

and understanding each and every function of jupyter notebook then we will learn basic pythons such as Then we will go ahead with the basic python data types like strings, numbers, and its operations. We will deal with different types of ways to assign and access strings, string slicing, replacement, concatenation, formatting, and strings.

Dealing with numbers, we will discuss the assignment, accessing, and different operations with integers and floats. The operations include basic ones and also advanced ones like exponents. Also, we will check the order of operations, increments, and decrements, rounding values, and typecasting.

Then we will proceed with basic data structures in python like Lists tuples and set. For lists, we will try different assignments, access, and slicing options. Along with popular list methods, we will also see list extension, removal, reversing, sorting, min and max, existence check, list looping, slicing, and also inter-conversion of list and strings.

For Tuples also we will do the assignment and access options and proceed with different options with set in python.

After that, we will deal with python dictionaries. Different assignment and access methods. Value update and delete methods and also looping through the values in the dictionary.

After that, we will learn how to read a different file in python such as CSV, JSON, xlv file, etc.

After that, we will explore the numpy basic operation We will try column-wise and row-wise access options, dropping rows and columns, getting the summary of data frames with methods like min, max, etc. Also, we will convert a python dictionary into a pandas data frame. In large datasets, it's common to have empty or missing data. We will see how we can manage missing data within data frames. We will see sorting and indexing operations for data frames.

And last we will learn about Descriptionting tools such as MatDescriptionlib and Seaborn and cufflinks and Descriptionly in-depth with data analysis

Overall this course is a perfect starter pack for your long journey ahead with data science and machine learning. You will also be getting an experience certificate after the completion of the course(only if your learning platform supports)

So let's start with the lessons. See you soon in the course lecture

Who this course is for:
who is want to learn basic of data science and their libraries

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/447675186bb92daf14cfc4132bc75c01/bdm0f.Basics.Data.Science.with.Numpy.Pandas.and.MatDescriptionlib.part1.rar.html
https://rapidgator.net/file/740d1f321e4a814c60df0411eedcf3c1/bdm0f.Basics.Data.Science.with.Numpy.Pandas.and.MatDescriptionlib.part2.rar.html

nitroflare_com:
https://nitroflare.com/view/958C27B713C28D7/bdm0f.Basics.Data.Science.with.Numpy.Pandas.and.MatDescriptionlib.part1.rar
https://nitroflare.com/view/CEAE07D944407CF/bdm0f.Basics.Data.Science.with.Numpy.Pandas.and.MatDescriptionlib.part2.rar

uploadgig_com:
https://uploadgig.com/file/download/6288cf1ab191eB8e/bdm0f.Basics.Data.Science.with.Numpy.Pandas.and.MatDescriptionlib.part1.rar
https://uploadgig.com/file/download/e64700954Aa6Eb26/bdm0f.Basics.Data.Science.with.Numpy.Pandas.and.MatDescriptionlib.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:34

What you'll learn:
Implement your authentication and authorization with Azure Active Directory
Use Cosmos DB as NoSQL database; use Azure SQL for relational database; and use your favorite MySQL and PostreSQL with Azure.
Use Azure Blob Storage for blobs, non-structural data etc in your code. Use event and queue feature of blob storage for reactive programming.
Use Service Bus messaging for messaging; use Event Grid for reactive programming and Use Event Hub for big data pipeline.
Use Azure DevOps for project management, code repository, private package, CI/CD pipeline and testing.
Host your docker images with Azure Container Registry; Publish and scale your app with App Services.
Log your app with Azure Application Insights, and monitor your app with Azure Monitor;

Requirements
Some knowledge with javascript is helpful.

Description
This course is the most comprehensive guide for building enterprise web application with Azure. It is designed for software engineers, IT admins and enterprise application developers.

In the first section, we have learned what the course is about, what's an enterprise app, how to take advantage of Azure free service offering so we can sign up for an account.

In the second section, we introduced Azure Active Directory and Microsoft Identity platform; We showed how to register an app with Azure Active Directory single sign-on; How to use Enterprise App to set up groups, roles and permissions. How to authorize a user and how to validate a token. There is so much information and features with Azure Active Directory, and it could be very confusing. Even though we only scratch the surface, what you have learned is important enough to get your project going.

In the third section, we explored the datastore options. We can choose Cosmos DB as our NoSQL database option, or use Azure SQL as your relational database. Of course, We can bring our own choice of databases, such as MongoDB, MySQL or PostgreSQL. For MongoDB, Azure has Azure Cosmos DB's API for MongoDB. For MySQL or PostgreSQL, Azure provides fully managed, enterprise-ready community MySQL or PostgreSQL database as a service. Do check the pricing before you make a decision.

In the fourth section, we got to know Azure storages options. We introduced how to work with Azure blob storages for uploading, reading, deleting files. How to secure our file by setting right access controls. How to use event and queue feature in blob storage to monitor new files added or deleted from a blob container, and how we can poll messages from queue so we can do something with the files. And how to use Microsoft Azure Storage Explorer tool to explore our files.

In the fifth section, we introduced the message and event services in Azure: service bus, event hubs and event grid, the similarity, the difference and the best use cases. We also use live codes to demonstrate how to get it started.

In the sixth section, we discussed Azure DevOps for devOps. Azure DevOps has five main services. Azure board is for project management; Azure repos is for our code repositories; Azure Artifacts is for our private package; Azure Pipeline for continuous integration and delivery. Azure Testplans is for testing. All services are under one project, quite convenient in my opinion.

In the seventh section, we went over how to publish our app with Azure App Services. We talked about dockerifying our app, hosting docker images with Azure Container Registries, deploying and scale our app with App Services.

We didn't forget logging and monitoring. In the eighth section, we integrated Application Insights in our frontend and backend app, which will telemetry logs, exceptions, request & response, crashes to Azure Logs. We can query logs and continuously export them to Azure Blob Container.

Who this course is for
1. Experienced software engineer who is interested in Azure
2. IT admins who are using Azure
3. Software engineers who have not used Azure before and are interested in this Azure option
4. Enterprise application developers

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/c1afc6d0e3c3369aadc8bb650ec73fa8/w1l43.Build.Enterprise.Web.App.with.Azure.rar.html

nitroflare_com:
https://nitroflare.com/view/68263B13CCB0D05/w1l43.Build.Enterprise.Web.App.with.Azure.rar

uploadgig_com:
https://uploadgig.com/file/download/6c0c978c260c3191/w1l43.Build.Enterprise.Web.App.with.Azure.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:35

1h 24 mins | mkv , 1280x720 , 60 fps | aac, 48000 Hz, stereo, s16 | 579 MB
Genre: eLearning | Language: English

Ever wanted to create your own website but don't know where to begin? Start your web development journey here with Dr Simon Rose.

In this free practical class, you'll build and publish your own portfolio website from scratch in under 2 hours using HTML, CSS and JavaScript. The class is taught by a university lecturer and is adapted from an Intro to Web Development university module. It is designed for absolute beginners and covers the fundamentals of web development, including an explanation of each technology and how they fit together, it then walksthrough step-by-step how to create and publish the website.

Please post a link to your finished projects below and feel free to ask questions in the discussion section. Enjoy!

What you will learn in this class:

Visual Studio Code
NodeJS and npm
How to serve websites locally usinghttp-server
HTML document structure, elements and attributes
Emmet
Using the Google Chrome inspector for web development
CSS selectors, classes, IDs, properties and values
Box model
CSS positioning
CSS colours
CSS rules of precedence
JavaScript introduction (functions and variables)
Domain Object Model (DOM)
Favicons
Icons using Font Awesome
CSS animations
Deploying websites using GitHub pages

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/e3457e4e94c693dcdd70f1c25cc745d9/fiayt.Building.a.basic.portfolio.website.using.HTML.CSS.and.JavaScript.rar.html

nitroflare_com:
https://nitroflare.com/view/5E86752C56894EF/fiayt.Building.a.basic.portfolio.website.using.HTML.CSS.and.JavaScript.rar

uploadgig_com:
https://uploadgig.com/file/download/f1113b96F83002e5/fiayt.Building.a.basic.portfolio.website.using.HTML.CSS.and.JavaScript.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:36

Duration: 1h 32m | Video: .MP4 1280x720, 24fps(r) | Audio: AAC, 48000 Hz, 2ch | Size: 766 MB
Genre: eLearning | Language: English
What does it take to build a sustainable career as a filmmaker or content creator?

Many people want to make money while doing creative projects, and thanks to modern technology, it's become more accessible and competitive than ever. So creatives must have a clear business strategy to avoid unfair, and exploitative deals.

In this 90-minute class, you'll learn how to meet your financial goals in the digital creative industry. This isn't a get-rich-quick scheme, I want to share strategies that can help you make the most of what you have. If you've got skills and creativity, how can you build a career around them? If you've got time to invest in your projects, how can you best use it to build an audience and a network of collaborators?

Whether your projects cost $50 or $50,000, smart financial decisions will ensure that you can spend your time on the things you care about most.

The key lessons include:

How to find paid filmmaking jobs and funding opportunities without compromising your creativity or values.
Practical advice on how much to charge clients and how to negotiate better deals.
How to build a skillset and reputation that will sustain a long and fruitful career.
Strategies to harness modern technology to cut costs and retain ownership of our projects.
Simon Cade built his career around freelance filmmaking, collaborating with many clients over the past eleven years while working on documentaries, YouTube channels, and commercials. He believes that any filmmaker and content creator can build a career on their own terms.

By the end of this class, you'll have learned from Simon's biggest mistakes and successes, and you'll have a clear strategy to meet your creative and financial goals.

Код:

rapidgator_net:
https://rapidgator.net/file/b55d2bb8465149417c333e9a79acc708/alvkb.Building.a.Filmmaking.Career.How.to.Find.Success.as.a.Video.Creator.part1.rar.html
https://rapidgator.net/file/dd4853175f3d7e6c6793d3495a7a6138/alvkb.Building.a.Filmmaking.Career.How.to.Find.Success.as.a.Video.Creator.part2.rar.html

nitroflare_com:
https://nitroflare.com/view/7C5A44DB35BE420/alvkb.Building.a.Filmmaking.Career.How.to.Find.Success.as.a.Video.Creator.part1.rar
https://nitroflare.com/view/FFECF1958158248/alvkb.Building.a.Filmmaking.Career.How.to.Find.Success.as.a.Video.Creator.part2.rar

uploadgig_com:
https://uploadgig.com/file/download/CC2195F6c4f379b5/alvkb.Building.a.Filmmaking.Career.How.to.Find.Success.as.a.Video.Creator.part1.rar
https://uploadgig.com/file/download/9804bdde875c33Eb/alvkb.Building.a.Filmmaking.Career.How.to.Find.Success.as.a.Video.Creator.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:37

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 45 lectures (2h 41m) | Size: 1.24 GB

Build scalable apps using Node, Amazon's DynamoDB (key-value store), Docker containers & host them on with auto-scaling

What you'll learn:
Javascript
Node
AWS
Docker
DynamoDB
Fargate
Auto-scaling

Requirements
Create an AWS account

Description
In this course you will learn how to:

Build a REST API using Node.js alongside the Express library

Persist data using AWS DynamoDB

You will learn how to develop using DynamoDB on your local computer before deploying your app in production

Containerize your app using Docker

Push your app to AWS Elastic Container Registry

Host your app using AWS Fargate & AWS Load Balancing

Enable auto-scaling which means AWS will take care of adding / removing compute resources to cater to demand spikes on your app

Point a domain name to your app so it's easily accessible

Who is this course for?

Javascript beginners

Developers wanting to learn how to deploy apps using AWS Fargate & Load balancing

Why is JavaScript and Node so awesome?

Well, it's the most used programming language in the world

Heaps of community support when you encounter bugs and issues

Loads of companies looking for JavaScript developers

Why is AWS Fargate so amazing?

It automatically provisions and monitors the load on our compute resources so we don't have to

It auto-scales our app so meet traffic loads, and scales back to reduce costs

It turns a traditional app into a "serverless" one

Learning methodology:

We take a learn-by-doing approach. In a matter of minutes, you'll have a running NodeJS Express application. Over the course of the lectures you'll develop your very own To Do List backend application.

Who this course is for
Beginners to Javascript and Node
Seasoned developers looking for guidance on how to set up a project with AWS Fargate

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/053202bbb37068cba8e05dc1863dc914/oc3ua.Build.Node.js.apps.with.AWS.DynamoDB..Docker.containers.part1.rar.html
https://rapidgator.net/file/92c658dd284981b4d423974af43e4475/oc3ua.Build.Node.js.apps.with.AWS.DynamoDB..Docker.containers.part2.rar.html

nitroflare_com:
https://nitroflare.com/view/1D5184CA304D5E1/oc3ua.Build.Node.js.apps.with.AWS.DynamoDB..Docker.containers.part1.rar
https://nitroflare.com/view/8A3D2FC08594FD5/oc3ua.Build.Node.js.apps.with.AWS.DynamoDB..Docker.containers.part2.rar

uploadgig_com:
https://uploadgig.com/file/download/dfa2101966bb5ddc/oc3ua.Build.Node.js.apps.with.AWS.DynamoDB..Docker.containers.part1.rar
https://uploadgig.com/file/download/0Cdd969883f9D143/oc3ua.Build.Node.js.apps.with.AWS.DynamoDB..Docker.containers.part2.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:39

Duration: 6h9m | Video: .MP4, 1280x720 30 fps | Audio: AAC, 48kHz, 2ch | Size: 3.73 GB
Genre: eLearning | Language: English
Master JavaScript and Firebase Firestore with Pure JavaScript！JavaScript ES6+, OOP, AJAX

What you'll learn
Go from a total beginner to an advanced JavaScript developer
Asynchronous JavaScript: The event loop, promises, async/await, AJAX and APIs
OOP including ES5 prototypes & ES6 classes
ES6 features like arrow functions, classes, default and rest parameters, etc.

Requirements
No coding experience is required in this course
Basic HTML/ CSS knowledge is an advantage, but not a must
All you need is a computer

Description
This is a JavaScript course for everybody.

JavaScript is everywhere

JavaScript is the most popular programming language out there, you need to know JavaScript no matter you are a frontend developer or backend developer. YouTube tutorials are usually talking about a JavaScript features without showing how to use them.

Complete Modern JavaScript BootCamp from the beginning starts from scratch and builds up your knowledge of the JavaScript language. Yes, you'll learn all the features of the language, but you'll also learn how to use those features together to create a complete application.

Firestore -Real time database

Besides JavaScript, we will also learn to build web with Firebase. Cloud Firestore is also a flexible, scalable database for mobile, web, and server development from Firebase and Google Cloud Platform.

Who this course is for:
Those who want to gain an understanding of most popular language JavaScript
Those who want to get start with programming in general
Those who want to learn modern JavaScript from beginner to advanced without libraries and frameworks
Those who want to gain an understanding of most popular language JavaScript

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/957e718f1a57eb3da202e73480629cf4/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part1.rar.html
https://rapidgator.net/file/7c8741e0d9a96d5a90741265d546c3f3/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part2.rar.html
https://rapidgator.net/file/53d4a9f49f7eaa56386c03f37e1036e2/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part3.rar.html
https://rapidgator.net/file/53b934f8d4ced3027198ed3e0060d2a3/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part4.rar.html

nitroflare_com:
https://nitroflare.com/view/C5B2E2715406878/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part1.rar
https://nitroflare.com/view/0A66B8697483A21/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part2.rar
https://nitroflare.com/view/6F31D93A16C6678/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part3.rar
https://nitroflare.com/view/BDA3ACB51DA0920/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part4.rar

uploadgig_com:
https://uploadgig.com/file/download/aeD88dd900BBca4c/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part1.rar
https://uploadgig.com/file/download/BD5f7eedd50C2618/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part2.rar
https://uploadgig.com/file/download/55cd712b6f4b4b22/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part3.rar
https://uploadgig.com/file/download/9f73965E939ef9B2/drzng.Complete.Modern.JavaScript.Firebase.BootCamp.the.beginner.part4.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:39

Video: .MP4, AVC, 1280x720, 30 fps | Audio: English, AAC, 44.1 KHz, 2 Ch | Duration: 2h | 169 MB
Instructor: Jim Wilson

This course will teach you the tips and tricks of managing application control flow in Java to help prepare you for the certification exam.

Looping and conditional logic are a foundational part of every Java application. Understanding them is essential to success. In this course, Controlling Program Flow in Java (Java SE 11 Developer Certification 1Z0-819), you'll learn the tips and tricks of managing application control flow in Java to help prepare you for the certification exam. First, you'll explore some of the more complex usage scenarios of conditional logic. Next, you'll discover how to effectively work with complex nested loops. Finally, you'll learn how to incorporate branching in your loops and avoid infinite loops. When you're finished with this course, you'll have the skills and knowledge of Java application control flow needed to prepare you to succeed as you take the certification exam.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/5e0b4fcbb140513651b33cdeb4758bda/6moq4.Controlling.Program.Flow.in.Java.Java.SE.11.Developer.Certification.1Z0819.rar.html

nitroflare_com:
https://nitroflare.com/view/F3E541BF7A720B8/6moq4.Controlling.Program.Flow.in.Java.Java.SE.11.Developer.Certification.1Z0819.rar

uploadgig_com:
https://uploadgig.com/file/download/8064db5Ad1e13e40/6moq4.Controlling.Program.Flow.in.Java.Java.SE.11.Developer.Certification.1Z0819.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:40

MP4 | Video: h264, 1280x720 | Audio: AAC, 48000 Hz
Language: Spanish | Size: 3.84 GB | Duration: 3h 13m

What you'll learn
Pon en práctica las teorías preeminentes de la productividad y la gestión del tiempo para aprovechar más tu día
Utiliza trucos innovadores y consejos para mejorar la productividad de tu computadora
Identifica aquellas cosas que te hacen perder el tiempo y elimínalas antes de que agoten todo tu tiempo
Elimina los malos hábitos que te consumen horas del día sin razón alguna
Hazte más tiempo para las cosas que realmente importan en la vida
Requirements
Se recomienda tener apertura mental y disposición para aprender nuevas formas de pensar
No se requiere ningún conocimiento previo
Description
32.600 Estudiantes, ¡Conviértete en un Speed Demon fué actualizado de pies a cabeza!

Este curso te enseñará los trucos y consejos más innovadores para la productividad, la automatización y la eficiencia, para que puedas hacer más trabajo en menos tiempo y así tener más tiempo para las cosas que realmente importan en la vida

-

Al contrario de lo que normalmente se piensa, la productividad no siempre se trata de hacer las cosas más rápido.

Si tu...

No tienes tiempo suficiente

Has intentado ser "más productivo" sin mucho éxito

... es muy probable que estés trabajando demasiado

¿Cómo es eso posible?

Es muy simple.

Como estudiante o profesional que busca aprovechar su tiempo al máximo, sabes que hay una ENORME diferencia entre:

Hacer un trabajo profundo en una tarea de un nivel elevado que te ayuda a alcanzar tus metas

Sentarte en tu escritorio durante 8 horas o más, saltando de tarea en tarea ... sin llegar a ninguna parte

Así que...

Si estás trabajando durante una cierta cantidad de tiempo y no ves un resultado proporcional, o exponencial, no tienes un problema de productividad

Tienes un problema de "manejo de tu atención"

Pero, ¿qué es "manejo de la atención"?

Y más importante aún, ¿cómo puedes utilizarlo a tu favor y no en tu contra?

¡Me alegra que preguntes!

Conviértete en un SpeedDemon responderá exactamente esa pregunta.

La triste verdad es que la mayoría de nosotros no tenemos el tiempo suficiente en nuestras vidas diarias para hacer las cosas que necesitamos hacer. Mucho menos para las que queremos hacer.

En este curso de Jonathan Levi, el instructor con mayor ventas, autor del exitoso curso "Conviértete en un Super Aprendiz", aprenderás cómo obtener tiempo suficiente para hacer eso, y mucho más.

Durante los últimos 10 años, el instructor Jonathan Levi desarrolló una serie de técnicas, consejos, trucos y estrategias para sobrellevar cargas de trabajo sobrehumanas.

Desde manejar una empresa multimillonaria mientras estudiaba a tiempo completo; hasta llevar adelante varias compañías a la vez, mientras cumple con su ajustada agenda de viajes, cursos, y encuentros con amigos, una vida que volvería loco a cualquiera.

¿Cómo es esto posible, y cómo puedes convertirte tú también en un SpeedDemon?

El curso comienza con una gran base teórica, que te dará un panorama de las filosofías detrás de la eficiencia, la productividad , y de "agilizar las cosas".

Una vez que estés armado con estas teorías y estrategias, el curso se adentrará en recomendaciones prácticas sobre cómo agilizar algunas de esas tareas diarias que requieren de mayor cantidad de tiempo

Trabajar en la computadora

Cocinar y hacer ejercicio

Interactuar con otros

Otras ineficiencias generales

Este curso brinda una visión integral sobre la productividad y la eficiencia, proporcionándote un esquema mental que te permitirá ser más exitoso en tus tareas, y agilizar cada aspecto de tu vida productiva y creativa, con el objetivo de que logres obtener más tiempo para hacer esas cosas que realmente importan

Así que si tu...

Podrías aprovechar entre 1 y 3 horas más de tu día

Actualmente empleas el POCO tiempo libre que tienes, preocupándote por la pila interminable de trabajo que te espera en tu escritorio

Quisieras tener más tiempo libre para compartir con tu familia y amigos

... este curso es para ti.

Podemos afirmar con seguridad que este es el mejor curso sobre productividad que se haya lanzado en Udemy, y el más completo.

Ten en cuenta: Este curso de productividad es impartido por Jonathan Levi y traducido por Papercup, una empresa de traducción de IA con la misión de hacer que todo el contenido del mundo esté disponible en cualquier idioma. La voz de Jonathan Levi ha sido generada por el algoritmo de última generación de Papercup para ofrecerte este curso en tu idioma nativo.

Who this course is for:
Estudiantes que sienten que necesitan una hora extra en el día
Estudiantes que sienten que ciertas actividades como el trabajo informático, la cocina o la comunicación, les lleva más tiempo del necesario
Estudiantes que desean aprender sobre las importantes teorías de la productividad, pero tienen tiempo para leer 10 libros sobre ello

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/c3c4ed259dd8c000d443dbdee5a8fa29/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part1.rar.html
https://rapidgator.net/file/ea75f055c60512421657a2e4b6c8cef8/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part2.rar.html
https://rapidgator.net/file/15220122ecaf5602c93c6be5e0f03302/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part3.rar.html
https://rapidgator.net/file/a57329c457aae4e75cb5014b6f15a6c1/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part4.rar.html

nitroflare_com:
https://nitroflare.com/view/C51F950E0E8B989/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part1.rar
https://nitroflare.com/view/04CCD4757D5EA64/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part2.rar
https://nitroflare.com/view/C32A3450492E6C1/06w0d.Convirtete.en.un.SpeedDemon.Trucos.de.productividad.part3.rar
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uploadgig_com:
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Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:41

1h 20mins | mkv , 1280x720 , 30 fps | aac, 48000 Hz, stereo, s16 | 861 MB
Genre: eLearning | Language: English

Learn how to create Motion Graphics Templates with Adobe After Effects to use in your own workflow or to sell on marketplaces. These templates can be exported to Adobe Premiere Pro for a user-friendly use.

By the end of the class you are able to setup and export your own custom templates. As well as creating user-friendly tools like checkboxes and dropdown menus using expressions.

WHAT WIL I LEARN?

How to setup a template in After Effects and export it to use in Premiere Pro
Create user-friendly interfaces using dropdown menus and checkboxes
Write basic expressions to automate actions
Linking objects and properties for easier use
Working with animation curves
FOR WHO IS THIS CLASS?

This class is for anyone who already has a basic understanding of Adobe After Effects and is ready for the next advanced feature to learn. You want to earn money by selling motion graphics templates on marketplaces. Or you wish to streamline your own production and safe time by creating your own custom templates.

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/3272452535099cf8d7f85adad012be96/3bhzl.Create.Motion.Graphics.Templates.with.Adobe.After.Effects.rar.html

nitroflare_com:
https://nitroflare.com/view/C7265B6D82A15E0/3bhzl.Create.Motion.Graphics.Templates.with.Adobe.After.Effects.rar

uploadgig_com:
https://uploadgig.com/file/download/28ec421a07B72bF4/3bhzl.Create.Motion.Graphics.Templates.with.Adobe.After.Effects.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:42

What you'll learn
They will be articulate data science process and methodology - BI vs AI differences
They will understand how to analyze data sources and enhancements needed
They will explore how users and experts will be engaged for model measurement and monitoring
Finally they will understand the controls and governance aspects

Description
Data Science grew through our experiences with Business Intelligence or BI, a field that became popular in 1990s. However, the last 20 years have seen unprecedented improvement in our ability to take actions using Artificial Intelligence. As we adopt the BI methodologies to AI deployments, how will these methodologies morph to add considerations needed for model deployment, and machine learning.

Today's Data Science work deals with big data. It introduces three major challenges:

How to deal with large volumes of data. Data understanding and data preparation must deal with large scale observations about the population. In the world of BI on small samples, the art of data science was to find averages and trends using a sample and then projecting it using universal population measures such as census to project to the overall population. Most of the big data provides significant samples where such a projection may not be needed. However, bias and outliers become the real issues

Data is now available in high velocity. Using scoring engines, we can embed insights into high velocity. Data Science techniques offer significant real-time analytics techniques to make it possible. As you interact with a web site or a product, the marketer or services teams can provide help to you as a user. This is due to insight embedded in high velocity.

Most of the data is in speech, unstructured text or videos. This is high variety. How do we interpret an image of a driver license and extract driver license. Understanding and interpreting such data is now a central part of data science.

As these deployed models ingest learning in real-time and adjust their models, it is important to monitor their performance for biases and inaccuracies. We need measurement and monitoring that is no longer project-based one-time activity. It is continuous, automated and closely monitored. The methodology must be extended to include continuous measurement and monitoring.

The course describes 7 steps methodology for conducting data science /AI driven engagement.

Step 1: Understand Use Case - We use illustrative examples and case studies to show the power of data science engagement and will provide strategies for defining use case and data science objectives.

Step 2: Understand Data - We will define various characteristics of big data and how one should go about understanding and selecting right data sources for a use case from data science perspective

Step 3: Prepare Data - How should one go about selecting, cleaning and constructing big data for data modeling purposes using analytics or AI techniques

Step 4: Develop Model - Once you have ingested structured and un-structured data from many sources, how do you go about building models to gain data insights using AI and Analytics

Step 5: Evaluate Model - How do you engage users and evaluate decisions? What measurements do you need on models?

Step 6: Deploy Model- How do you deploy your AI models and apply learning of AI system from production use for enhancing your model.

Step 7: Monitor Model - What measurements and guard-rails should be in place for continuous monitoring and learning of AI system for production use?

If you are a developer and are interested in learning how to do a data science project using Python, we have designed another course titled "Data Science in Action using Python".

Who this course is for:
The course is must for those embarking on a data science projects for the first time in their organization.
Example: Project managers and IT executives responsible for the data science project execution.
Example: Business analyst who would like to learn about how to incorporate data science in their business analysis.
Example: Developers can use it to get exposure to data science and CRISP-DM methodology and enhancements
There are four possible careers where this course can be used as introductory material, such as Data Scientist, Data, AI or Automation Engineer, Test Engineer

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/70fea4547633616152835cf90e19d039/544te.Data.Science.Methodology.part1.rar.html
https://rapidgator.net/file/79738d39d161369ba78df377bb7e4bc8/544te.Data.Science.Methodology.part2.rar.html
https://rapidgator.net/file/3c730183934a22c58ef539caf9048600/544te.Data.Science.Methodology.part3.rar.html

nitroflare_com:
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https://nitroflare.com/view/E4DA3D90F4215D9/544te.Data.Science.Methodology.part2.rar
https://nitroflare.com/view/2B5865D392EAAFD/544te.Data.Science.Methodology.part3.rar

uploadgig_com:
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https://uploadgig.com/file/download/270e048ce45e2168/544te.Data.Science.Methodology.part2.rar
https://uploadgig.com/file/download/65681ccc3c31aa5a/544te.Data.Science.Methodology.part3.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:43

MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 36 lectures (3h 24m) | Size: 762.2 MB

A guide for learning Data Structures operations & Analyze the Algorithms by implementing the practical Data Structures

What you'll learn:
The students will be able to understand the concepts in the organization of data efficiently.
The students will be able to understand the concepts of data structures.
The students will be able to use an algorithm by applying the concepts of data structures.
The students will be able to develop different algorithms and use their learnt techniques.

Requirements
Basic Computer Science Knowledge.

Description
Welcome to the DATA STRUCTURES and ALGORITHMS course!!

Are you interested in learning the Data Structures and implementing its Algorithms?

The goal of the entire course is to give you capability for writing the code like a professional programmer by understanding the concepts of Data Structures and Algorithms.

Here, each section is having theory and examples with its implementation of Data Structures and Algorithms.

There are many people who don't understand the concepts of Data Structures but try to write the code which will result in errors.

This course has the concepts of Algorithm & implementation of the Data Structure concepts with examples but not coding. But by learning the concepts of Data Structures and its Algorithms you can write the code in any programming language.

There might be free lessons available in the YouTube but you cannot get all the content available at once and it wont be interactive also.

Here, you will Learn the following:

Basics of Data Structures and Algorithms

Arrays Concepts

Stacks and Queues

Linked Lists Concepts

Tree Data Structures

Graph Data Structures

Searching and Sorting Algorithms.

By learning this course of Data Structures and Algorithms you can gain the knowledge of Data Structures and implement the Algorithms. Finally you can perform well in exams and crack the interviews.

I hope you will learn all these topics and I want everyone to get benefit from my course of Data Structures and Algorithms.

Who this course is for
The intended people who want to learn the Data Structures and Algorithms to structure the data.

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/f69e9cdc7bd7d7df9c91042f34d67394/0zc1f.Data.Structures.and.Algorithms.by.Rashmi.V.rar.html

nitroflare_com:
https://nitroflare.com/view/8CB22EFCA59D3D6/0zc1f.Data.Structures.and.Algorithms.by.Rashmi.V.rar

uploadgig_com:
https://uploadgig.com/file/download/ef02e46C2f7CcdCd/0zc1f.Data.Structures.and.Algorithms.by.Rashmi.V.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:44

What you'll learn
Deep learning using Keras to implement various problems like Binary Classification, Multi Class classification, & Regression
Intuition on Deep Learning Neural Networks by implementing the code in Python using Keras Library
Learn Python to kick start Deep Learning journey
Build intuition on Various Models in Deep learning and Learning algorithms in Deep learning

Description
You might have seen in many articles as -

"AI is the new future"

"Deep Learning Will Make Truly Self-Driving Cars a Reality"

"Deep Learning hottest career for the next decade "

"Deep Learning aides in Scientific discovery "

... the list goes on!!!

Yes. AI is the new future, with the various technological advancements in hardware and software, Deep Learning algorithms are able to perform better compared to last decade. Combined with true power in hardware and research for better Deep Learning models, the field AI is growing exponentially.

With all the latest demand we have in this present world, We at ManifoldAILearning decided to create the course - DEEP LEARNING from Scratch- Keras Tensorflow

With this course, you will kick start your journey into deep learning and build intuition on Deep Neural Networks with hands on exercise and high quality video tutorial.

This is the course structure of Deep learning :

Basic Nuts & Bolts of Deep Learning

Crash Course on Python

Understanding various models in Deep learning

Implement Deep learning neural networks using keras with Tensorflow backend

Implement Deep learning on common types of problems like Binary Classification, Multi Class classification & Regression

*** Why Deep Learning 101 !!***

Here are top reasons we think Deep Learning is best for you:

1. EXPERT DESIGNED COURSE STRUCTURE

The one challenge every learner finds is , getting lost in the topics of Deep Learning before stepping into it. Hence we focused on building a sold structure for this course, so that no matter what your skill level may be, you will find it intuitive on the concepts of Essentials required for kick starting your Deep learning journey.

With Exercise after each module will help you as a learner to gain knowledge as well as build confidence on the topics.

2. HIGH QUALITY INTUITIVE TUTORIALS

We want the students to gain intuition as well as knowing how to make it work by coding. So, we have divided our each topic into two sub sections, where we explain the concepts theoretically with intuitive videos as well as practical section to implement the topics we have learnt in theory section. This will make you, as a student to have a complete learning experience.

3. PRACTICAL HANDS-ON EXERCISE

Every practical section starts with us coding along with you , and explaining & build intuition as how each line works and behave. We believe this is important, as after the completion of this course, you should be able to apply to other datasets of your choice.

All the codes and data sets are also available for you to download & practice at your own pace.

We believe that this course will be very useful to you, as Deep learning 101 is designed to kick start your Deep Learning journey with required essentials and be a part of technological advancement which is driving today & Tomorrow's technology.

We believe that -

" The best time to prepare for tomorrow's technology is by learning today ".

So Start now!! We will see you in Lesson 1 of Deep Learning 101

- Team ManifoldAILearning

Who this course is for:
Anyone looking to start career in Deep learning
Anyone wants to build Deep learning - Neural networks
Anyone wants to implement Deep Learning using Keras
Anyone wants to learn to code in Python to implement Deep learning
Anyone wants to be in Latest Trend in technology - Deep learning

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/50d4868bea3c6ae32988e2ac55020b5c/6waa7.Deep.Learning.for.Everyone.part1.rar.html
https://rapidgator.net/file/9ffa008ff8e67414c7d9d307bc6af155/6waa7.Deep.Learning.for.Everyone.part2.rar.html
https://rapidgator.net/file/e26db82ab0ffc5e0a6fcc872055499e1/6waa7.Deep.Learning.for.Everyone.part3.rar.html
https://rapidgator.net/file/aed1ac3c12e702e989d50c80fb74f911/6waa7.Deep.Learning.for.Everyone.part4.rar.html

nitroflare_com:
https://nitroflare.com/view/8C0830832B1805D/6waa7.Deep.Learning.for.Everyone.part1.rar
https://nitroflare.com/view/F8D9E4E447A1BD3/6waa7.Deep.Learning.for.Everyone.part2.rar
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https://nitroflare.com/view/62CE99C5FDF071B/6waa7.Deep.Learning.for.Everyone.part4.rar

uploadgig_com:
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https://uploadgig.com/file/download/020bF89445031AdE/6waa7.Deep.Learning.for.Everyone.part2.rar
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https://uploadgig.com/file/download/2dc6bf75b6874673/6waa7.Deep.Learning.for.Everyone.part4.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:46

What you'll learn
Fundamental stuff of Python and its library Numpy
What is the AI, Machine Learning and Deep Learning
History of Machine Learning
Turing Machine and Turing Test
The Logic of Machine Learning such as Machine Learning models and algorithms, Gathering data, Data pre-processing, Training and testing the model etc.
What is Artificial Neural Network (ANN)
Anatomy of NN
Tensor Operations
The Engine of NN
Keras
Tensorflow
Convolutional Neural Network
Recurrent Neural Network and LTSM
Transfer Learning

Description
Hello there,

Welcome to the "Deep Learning with Python" course.

In this course, we will learn what is Deep Learning and how does it work.

This course has suitable for everybody who interested in Machine Learning and Deep Learning concepts.

First of all, in this course, we will learn some fundamental stuff of Python and the Numpy library. These are our first steps in our Deep Learning journey. After then we take a little trip to Machine Learning history. Then we will arrive at our next stop. Machine Learning. Here we learn the machine learning concepts, machine learning workflow, models and algorithms, and what is neural network concept. After then we arrive at our next stop. Artificial Neural network. And now our journey becomes an adventure. In this adventure we'll enter the Keras world then we exit the Tensorflow world. Then we'll try to understand the Convolutional Neural Network concept. But our journey won't be over. Then we will arrive at Recurrent Neural Network and LTSM. We'll take a look at them. After a while, we'll trip to the Transfer Learning concept. And then we arrive at our final destination. Projects. Our play garden. Here we'll make some interesting machine learning models with the information we've learned along our journey.

In this course, we will start from the very beginning and go all the way to the end of "Deep Learning" with examples.

Before we start this course, we will learn which environments we can be used for developing deep learning projects.

During the course you will learn:

Fundamental stuff of Python and its library Numpy

What is the AI, Machine Learning, and Deep Learning

History of Machine Learning

Turing Machine and Turing Test

The Logic of Machine Learning such as

Understanding the machine learning models

Machine Learning models and algorithms

Gathering data

Data pre-processing

Choosing the right algorithm and model

Training and testing the model

Evaluation

Artificial Neural Network with these topics

What is ANN

Anatomy of NN

Tensor Operations

The Engine of NN

Keras

Tensorflow

Convolutional Neural Network

Recurrent Neural Network and LTSM

Transfer Learning

Finally, we will make four different projects to reinforce what we have learned.

Why would you want to take this course?

Our answer is simple: The quality of teaching.

When you enroll, you will feel the OAK Academy`s seasoned developers' expertise.

Video and Audio Production Quality

All our videos are created/produced as high-quality video and audio to provide you the best learning experience.

You will be,

Seeing clearly

Hearing clearly

Moving through the course without distractions

You'll also get:

Lifetime Access to The Course

Fast & Friendly Support in the Q&A section

Udemy Certificate of Completion Ready for Download

We offer full support, answering any questions.

If you are ready to learn "Deep Learning with Python"

Dive in now! See you in the course!

Who this course is for:
Anyone who has programming experience and wants to learn machine learning and deep learning.
Statisticians and mathematicians who want to learn machine learning and deep learning.
Tech geeks who curious with Machine Learning and Deep Learning concept.
Data analysts who want to learn machine learning and deep learning.
If you are one of these, you are in the right place. But please don't forget. You must know a little bit of coding and scripting.
Anyone who need a job transition

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/aada6480f9aee6b90ed8ce73e6afcf86/fskwj.Deep.Learning.with.Python..udemy.part1.rar.html
https://rapidgator.net/file/8a0d5f058380aeedbc41d5c1ccbc969d/fskwj.Deep.Learning.with.Python..udemy.part2.rar.html
https://rapidgator.net/file/5da2b19fb2c87078bd3507d53e80c3ee/fskwj.Deep.Learning.with.Python..udemy.part3.rar.html
https://rapidgator.net/file/5deaae1c8a7fb585336d7dc0c55bbb05/fskwj.Deep.Learning.with.Python..udemy.part4.rar.html

nitroflare_com:
https://nitroflare.com/view/B422CB59749C417/fskwj.Deep.Learning.with.Python..udemy.part1.rar
https://nitroflare.com/view/E3A21FFB56BF788/fskwj.Deep.Learning.with.Python..udemy.part2.rar
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https://nitroflare.com/view/3010FD4E4056AE0/fskwj.Deep.Learning.with.Python..udemy.part4.rar

uploadgig_com:
https://uploadgig.com/file/download/8d6429267720885C/fskwj.Deep.Learning.with.Python..udemy.part1.rar
https://uploadgig.com/file/download/97D7f76c397345e9/fskwj.Deep.Learning.with.Python..udemy.part2.rar
https://uploadgig.com/file/download/8c27deaa67387Bea/fskwj.Deep.Learning.with.Python..udemy.part3.rar
https://uploadgig.com/file/download/34283b11Ed642785/fskwj.Deep.Learning.with.Python..udemy.part4.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:47

What you'll learn
Professionals or Student will be able to develop Serverless REST API using AWS infrastructure
Scalable API

Description
In this course, you will learn how to develop serverless REST API from scratch.

Scaling new/existing REST API quickly without having to worry about servers is challenging but it is possible with help of Serverless application development and the infrastructure as a service.

In this course, you will learn how to create Serverless REST API using AWS API Gateway, Lambda, and Amazon Aurora (Mysql Compatible Serverless Database)

Our step by step guide will help you to learn how to create code within Lambda, Serverless framework, and Cognito. There are the following steps we will cover in this course.

Create Lambda Function Using AWS Console

Create Lambda Function By Uploading Zip file

Create Lambda Function From S3 Bucket

Integrate API Gateway within Lambda function

Create Lambda Function using Serverless Framework

Different environments production and development.

Deploy API's using Serverless Framework

Local environment testing

Docker Setup

Database seeding

AWS Data API for MySql queries.

Integrate API Gateway within Lambda function

Create AWS Aurora Serverless Cluster

Connectivity of AWS Aurora Serverless Cluster within Lambda

Develop CRUD (Create Read Update Delete) REST API using AWS Lambda and Aurora Serverless with the help of the Serverless framework

Securing REST API using OATH 2 with the help of AWS Cognito

CDK deployment Aurora RDS instance.

Cognito users pool configuration

Detail-oriented course.

Best practice covered.

Secure API using Cognito

AWS resources clean up

Who this course is for:
Beginner/Experienced Mobile App Developer
Beginner/Experienced Web App Developer
Beginner/Experienced REST API Developer
Beginner/Experienced Node JS Developer
Beginner/Experienced MySql Database Developer

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/911759a28ecb528402816124b0df5a9c/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part1.rar.html
https://rapidgator.net/file/deb63373845f3d655b77eafd415829a8/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part2.rar.html
https://rapidgator.net/file/dcca908cc8f6f1fe49a08664e4b7e2c2/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part3.rar.html

nitroflare_com:
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https://nitroflare.com/view/D094A6E77914831/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part2.rar
https://nitroflare.com/view/B0F4F32CF246417/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part3.rar

uploadgig_com:
https://uploadgig.com/file/download/bb4606128be59cFD/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part1.rar
https://uploadgig.com/file/download/8b03306F00E32FE8/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part2.rar
https://uploadgig.com/file/download/abb3aDeE2a14aF45/nbcoa.Develop.Secure.API.Using.AWS.Lambda.Aurora.Serverless.MySql.part3.rar

Links are Interchangeable - No Password - Single Extraction

mitsumi1 · 15.04.2021, 13:48

Topics include:
* Continuous Integration
* Python Debugger: PDB
* Debugging with print statements
* Debugging with IPython
* Using pylint and pytest to debug code

Screenshots

Download link:

Код:

rapidgator_net:
https://rapidgator.net/file/5c43723667b3b6e74c48e1b292543374/o3ds1.EMERGENCY.Debugging.Python.Code.in.One.Hour.rar.html

nitroflare_com:
https://nitroflare.com/view/B212E3FF2CCB84B/o3ds1.EMERGENCY.Debugging.Python.Code.in.One.Hour.rar

uploadgig_com:
https://uploadgig.com/file/download/5ff1229c307641A7/o3ds1.EMERGENCY.Debugging.Python.Code.in.One.Hour.rar

Links are Interchangeable - No Password - Single Extraction