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

[mitsumi1]

Learn Basics of Algebra From Scratch
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 34 lectures (1h 57m) | Size: 370 MB

Introduction to Algebra, Algebraic Expression, Algebraic Term, Coefficient, Variables, PEMDAS

What you'll learn:
Introduction to Algebra
Algebraic Expression
Algebraic Term
Coefficient
Variables
PEMDAS

Requirements
You need a basic understanding of arithmetic like addition, subtraction, multiplication, division.

Description
Introduction to Algebra is a beginner level course. This course starts from scratch and discusses about Algebraic Expression, Algebraic Term, Coefficient, Variables and PEMDAS. You can take this course as a beginner or someone who is interested in learning mathematical concepts. This course aids you in college or university entrance exams.

Who this course is for
Beginner

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/a86d92b15771d539882b513dae8ec666/56693.Learn.Basics.of.Algebra.From.Scratch.rar.html

nitroflare_com:
https://nitroflare.com/view/1F805AF4C8B2762/56693.Learn.Basics.of.Algebra.From.Scratch.rar

uploadgig_com:
http://uploadgig.com/file/download/5bCa0041ae4ca92f/56693.Learn.Basics.of.Algebra.From.Scratch.rar

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[mitsumi1]

Learning Cisco Unified Computing System - UCS
Bestseller | h264, yuv420p, 1280x7200 |ENGLISH, aac, 48000 Hz, 2 channels | 10h 40mn | 1.4 GB
Created by: Jason Lunde
Your guide to complete mastery over Cisco's UCS!

What you'll learn

Identify common UCS components
Describe and configure service profiles
Describe and configure UCS pools
Describe and configure UCS policies
Connect UCS to the LAN and SAN networks
Design UCS solutions

Requirements

Basic understanding of x86 Architectures
Basic understanding of virtualization fundamentals (Hypervisors, virtual machines, etc...)
CCNA or equivalent knowledge
Knowledge of VLAN's and SAN's

Description

This course takes you soup-to-nuts through the UCS system. We start off answering questions surrounding "Why UCS?," and then move swiftly through the components that comprise a Cisco UCS system. Following this, we begin discussing how UCS systems are built, and how they function. As an instructor, I firmly believe in the "see then do" process, especially when it comes to technology! So my method has always been to talk about the theory surrounding a topic, and then to show you it on a live system, and thats exactly what I do with this course.

We will build out the UCS system in the exact sequence that most engineers typically deploy it. We will connect it to the LAN and SAN networks, and configure the pools and policies that make up the identities of our service profiles (the true magic behind UCS!). We will practice things like 'boot from SAN' and show you how to troubleshoot and verify everything as we go!
Who this course is for:

Pre and Post Sales Engineers
Support Engineers
Virtualization Engineers
Network Engineers

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/8a34446b314275742b13c95e66cdf769/nz22u.Learning.Cisco.Unified.Computing.System..UCS.part1.rar.html
https://rapidgator.net/file/074f08a7685861d1cc934966ba4aa62f/nz22u.Learning.Cisco.Unified.Computing.System..UCS.part2.rar.html

nitroflare_com:
https://nitroflare.com/view/978CA65795E2BE8/nz22u.Learning.Cisco.Unified.Computing.System..UCS.part1.rar
https://nitroflare.com/view/8061CB9074DAE0C/nz22u.Learning.Cisco.Unified.Computing.System..UCS.part2.rar

uploadgig_com:
http://uploadgig.com/file/download/d53504c390150D10/nz22u.Learning.Cisco.Unified.Computing.System..UCS.part1.rar
http://uploadgig.com/file/download/6716F64b58bc8578/nz22u.Learning.Cisco.Unified.Computing.System..UCS.part2.rar

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[mitsumi1]

Learning Tor and the Dark Web 2020
Genre: eLearning | MP4 | Video: h264, 1280x720 | Audio: aac, 48000 Hz
Language: English | VTT | Size: 269 MB | Duration: 1 hours

What you'll learn
What is the dark web and who uses it?
Accessing the standard internet with the Tor Browser
The purpose of the Tor Browser
Safeguarding privacy on Tor
Cryptography and perfect forward secrecy
The role of hidden servers on the dark web
Installing the Tor Browser
Locating and accessing hidden websites
Vulnerabilities in Tor
Requirements
Basic Of Internet
Description
The dark web-a bastion of encrypted websites that can be visited and hosted anonymously-is home to criminals and privacy-minded citizens alike. In this course, learn about the social and technical underpinnings of the dark web, as well as how you can access and host websites that are hidden from prying eyes. Instructor Mike Chapple provides some history on the dark web and the Tor Browser, the basic software needed to access the dark web and browse the internet anonymously. He then goes over the basics of encryption and shines a light on the technical aspects of the Tor network, as well as how to use it to browse the standard Internet anonymously. Plus, get briefed on the potential vulnerabilities that users of anonymized networks should watch out for.

Who this course is for:
Beginners In The Dark Web
knowledge of ethical hacking

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/7f98c06c6b9cadd22436df4e54557ad2/n8qt9.Learning.Tor.and.the.Dark.Web.2020.rar.html

nitroflare_com:
https://nitroflare.com/view/12EFC1E94DF67F2/n8qt9.Learning.Tor.and.the.Dark.Web.2020.rar

uploadgig_com:
http://uploadgig.com/file/download/60d18147eC09e07c/n8qt9.Learning.Tor.and.the.Dark.Web.2020.rar

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[mitsumi1]

Linked List Data Structures and Algorithms for Interviews (Updated 6/2020)
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 19 lectures (3 hour, 48 mins) | Size: 1.78 GB
Master Linked Lists algorithms for Programming Interviews

What you'll learn

Linked List Data Structures and Algorithms

Requirements

Basic understanding of any programming language preferably C++

Description

Linked Lists are the a fundamental data structures and form a major component of questions in Programming Interviews at the major Software firms. This course tries to build the foundations of Linked List Data Structures starting with introduction the gradually diving deeper into it. Most part of the video lessons are geared towards explaining the problems and how to approach the solution, followed by implementation of the solution in C++ code.

So welcome to this course on Linked List Data Structures and Algorithms.

Who this course is for:

Software developers, programmers, computer science students.
Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/34dc9f05a2aafec8f3c6e81eb0a28c43/bedxm.Linked.List.Data.Structures.and.Algorithms.for.Interviews.Updated.62020.part1.rar.html
https://rapidgator.net/file/22992faca6cc99909e9d89465c5bd70c/bedxm.Linked.List.Data.Structures.and.Algorithms.for.Interviews.Updated.62020.part2.rar.html

nitroflare_com:
https://nitroflare.com/view/BA4AC765C37CB4E/bedxm.Linked.List.Data.Structures.and.Algorithms.for.Interviews.Updated.62020.part1.rar
https://nitroflare.com/view/C2981A5C48D7ED7/bedxm.Linked.List.Data.Structures.and.Algorithms.for.Interviews.Updated.62020.part2.rar

uploadgig_com:
http://uploadgig.com/file/download/1f5bBbbE1bdBF7e5/bedxm.Linked.List.Data.Structures.and.Algorithms.for.Interviews.Updated.62020.part1.rar
http://uploadgig.com/file/download/04955A62060d52C3/bedxm.Linked.List.Data.Structures.and.Algorithms.for.Interviews.Updated.62020.part2.rar

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[mitsumi1]

Map Automation using Python and ArcPy for ArcGIS Pro
h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels | 0h 47mn | 154 MB
Created by: Graeme Browning
Make PDF Maps on Demand using Python

What you'll learn

Use ArcPy classes and functions from the Python window of ArcGIS Pro
Use a Python IDE to build a PDF maps on demand application
Configure a Python script tool that provides a pick list to choose a feature to create a PDF map from

Requirements

You should have ArcGIS Pro 2.0 installed - only a Basic level license is needed - 1.2, 1.3 and 1.4 will enable you to do most of the course
You should have started to use ArcGIS Pro
You should be comfortable with using your choice of Python IDE - IDLE is used for demonstration

Description

To perform map automation, ArcGIS Pro uses its mp sub-module that has evolved from ArcMap's arcpy.mapping.

In this course, which is suitable for English-speaking students from anywhere in the world, you will:

Use seven key classes of the mp sub-module to perform map automation:
ArcGISProject
Map
Layer
Layout
MapFrame
Camera
Extent
Use a Python IDE (IDLE demonstrated) to make and export maps to PDF
Create a Python script tool that uses tool validation to provide a pick list of field values
Use dynamic map elements like an extent indicator on an overview map, legend that only shows features within the current extent, and a graticule
Use pseudo-dynamic text for title updating
Use ArcGIS Pro to improve output of Python script tool to meet one-off requirements Plus much more.

All necessary data is downloaded from Natural Earth, and most code is available as attachments to download, so that you can choose whether to type every character or copy/paste each line.
Who this course is for:

Anyone wanting to use ArcPy for map automation with ArcGIS Pro
Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/2e415e52d4813eeaf67b5ca5e411a9cc/syxr2.Map.Automation.using.Python.and.ArcPy.for.ArcGIS.Pro.rar.html

nitroflare_com:
https://nitroflare.com/view/9A488FBBE9DB710/syxr2.Map.Automation.using.Python.and.ArcPy.for.ArcGIS.Pro.rar

uploadgig_com:
http://uploadgig.com/file/download/41ad4d2e5014dD8d/syxr2.Map.Automation.using.Python.and.ArcPy.for.ArcGIS.Pro.rar

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[mitsumi1]

Mastering Google Classroom from A-Z
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 44100 Hz, 2ch | Size: 664 MB
Genre: eLearning Video | Duration: 9 lectures (44 mins) | Language: English

Learning Google Classroom through easy steps and practical examples

What you'll learn

Google Classroom

Requirements

None

Description

At the end of this course students will be able to achieve the following objectives:

-Create new google classrooms

-Invite students to enroll

-Post welcome messages and announcements for students

-Post assignments and questions for students in the classroom

-Perform accurate assessments for different student levels

-Post assignments containing multimedia content (images and videos)

-Share their classrooms with other teachers

Who this course is for:

Mostly educators

Download link:

rapidgator_net:
https://rapidgator.net/file/a9a866a81fbb795f6615b5eca0b65211/x8f0q.Mastering.Google.Classroom.from.AZ.rar.html

nitroflare_com:
https://nitroflare.com/view/01DCBD81F298D1E/x8f0q.Mastering.Google.Classroom.from.AZ.rar

uploadgig_com:
http://uploadgig.com/file/download/5b38efFe558fA8Cd/x8f0q.Mastering.Google.Classroom.from.AZ.rar

Links are Interchangeable - No Password - Single Extraction

[mitsumi1]

Matlab and Octave in Jupyter Notebook
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 28 lectures (2h 10m) | Size: 624.1 MB

A programming jouney all the way from Basics to Intermediate Matlab/Octave

What you'll learn:
Basics and Intermediate Matlab/Octave
Linking up to Jupyter Notebook
Variables and Types in Matlab
Conditional Statements,Loops
Arrays in Matlab
Descriptionting of Graphs in Matlab
Linear Algebra using Matlab/Octave
Differentiation
Integration using Matlab
Strings,Cell Array

Requirements
Access to a computer and interest to learn

Description
We will be learning Matlab and Octave in this course. Octave is Opensource alternative of Matlab. We will cover the following topics.

Basics and Intermediate Matlab/Octave

Linking up to Jupyter Notebook

Variables and Types

Conditional Statements,Loops

Functions

Arrays

String

Cell Array

Descriptionting of Graphs 2d,3d manipulation

Linear Algebra using Matlab/Octave

Differentiation

Indefnite and Definite Integration

The best part will be that we are not doing it at the editor or command window, So, if we ever need to come back and revise you can simply open the notebook and everything will be presented in the form of a book.

Who this course is for
Beginner and Intermediate Matlab/Octave Students

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/3d6d2dfc24bb7d9e7b222e6570e66e55/q50wz.Matlab.and.Octave.in.Jupyter.Notebook.rar.html

nitroflare_com:
https://nitroflare.com/view/1DD10D9645A201E/q50wz.Matlab.and.Octave.in.Jupyter.Notebook.rar

uploadgig_com:
http://uploadgig.com/file/download/aB2996465677e134/q50wz.Matlab.and.Octave.in.Jupyter.Notebook.rar

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[mitsumi1]

NLP: Natural Language Processing ML Model Deployment at AWS
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 66 lectures (7 hour, 32 mins) | Size: 3.28 GB
Build & Deploy BERT, DistilBERT, FastText NLP Models in Production with Flask, uWSGI, and NGINX at AWS EC2.

What you'll learn

Complete End to End NLP application
How to work with BERT in Google Colab
How to use BERT with Keras, ktrain, and TensorFlow 2
Deploy Production Ready ML Model
Fine Tune and Deploy ML Model with Flask
Deploy ML Model in Production at AWS
Deploy ML Model at Ubuntu and Windows Server
DistilBERT vs BERT
Optimize your NLP Code
You will learn how to develop and deploy FastText model on AWS
Learn Multi-Label and Multi-Class classification in NLP

Requirements

Introductory knowledge of NLP
Comfortable in Python, Keras, and TensorFlow 2
Basic Elementary Mathematics

Description

Are you ready to kickstart your Advanced NLP course? Are you ready to deploy your machine learning models in production at AWS? You will learn each and every steps on how to build and deploy your ML model on a robust and secure server at AWS.

Prior knowledge of python and Data Science is assumed. If you are AN absolute beginner in Data Science, please do not take this course. This course is made for medium or advanced level of Data Scientist.

What is BERT?

BERT is a method of pre-training language representations, meaning that we train a general-purpose "language understanding" model on a large text corpus (like Wikipedia), and then use that model for downstream NLP tasks that we care about (like question answering). BERT outperforms previous methods because it is the first unsupervised, deeply bidirectional system for pre-training NLP.

Unsupervised means that BERT was trained using only a plain text corpus, which is important because an enormous amount of plain text data is publicly available on the web in many languages.

Why is BERT so revolutionary?

Not only is it a framework that has been pre-trained with the biggest data set ever used, but it is also remarkably easy to adapt to different NLP applications, by adding additional output layers. This allows users to create sophisticated and precise models to carry out a wide variety of NLP tasks.

Here is what you will learn in this course

Notebook Setup and What is BERT.

Data Preprocessing.

BERT Model Building and Training.

BERT Model Evaluation and Saving.

DistilBERT Model Fine Tuning and Deployment

Deploy Your ML Model at AWS with Flask Server

Deploy Your Model at Both Windows and Ubuntu Machine

And so much more!

All these things will be done on Google Colab which means it doesn't matter what processor and computer you have. It is super easy to use and plus point is that you have Free GPU to use in your notebook.

Who this course is for:

AI Students eager to learn advanced techniques of text processing
Data Science enthusiastic to build end-to-end NLP Application
Anyone wants to strengthen NLP skills
Anyone want to deploy ML Model in Production
Data Scientists who want to learn Production Ready ML Model Deployment

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/7fa4f644921ec101ef64c71b87eb64bf/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part1.rar.html
https://rapidgator.net/file/3385057e8f78979a7e54bc5b25ac42fb/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part2.rar.html
https://rapidgator.net/file/c7dd346a04d77f10609d1ee2081d9ab0/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part3.rar.html
https://rapidgator.net/file/7fa92f0acd1022fdc06f3704b5656f9f/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part4.rar.html

nitroflare_com:
https://nitroflare.com/view/EC762BBC1684407/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part1.rar
https://nitroflare.com/view/5A961B631F6A574/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part2.rar
https://nitroflare.com/view/1DA99E39AE2E76C/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part3.rar
https://nitroflare.com/view/91D122B350C7779/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part4.rar

uploadgig_com:
http://uploadgig.com/file/download/6eC94be2e285fa41/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part1.rar
http://uploadgig.com/file/download/491b008EC1e438f0/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part2.rar
http://uploadgig.com/file/download/d50c2997cdf06AE2/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part3.rar
http://uploadgig.com/file/download/4c624b786bEd9490/f4oau.NLP.Natural.Language.Processing.ML.Model.Deployment.at.AWS.part4.rar

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[mitsumi1]

OSCON Open Source Software Superstream Series: Live Coding-Go, Rust, and Python
h264, yuv420p, 1920x1080 |ENGLISH, aac, 48000 Hz, 2 channels | 3h 33mn |2.57 GB
Created by: Ellen Körbes

This three-part series of half-day online events gives attendees an overarching perspective of software development from which to make decisions that strengthen and grow companies and industries, a deep knowledge of key open source technologies to make it happen, and a community in which both they and their companies can thrive.

In Part 1, Live Coding-Go, Rust, and Python, we wanted to get deeper into actual coding, and one way to do that was to outlaw slides. That's right, these sessions all incorporate live-coding. These four sessions from Ellen Körbes, John Walicki, Nathan Stocks, and Reuven Lerner will walk you through coding best practices and new ways of getting the most out of languages like Python, Go, and Rust.

This event is sponsored by IBM, and features spotlights on Kode With Klossy and the Eclipse Foundation.
Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/5a8709fcaa5d6aefc2d79f2126295c84/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part1.rar.html
https://rapidgator.net/file/c02062a62b8d18a937a49d155b7fa507/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part2.rar.html
https://rapidgator.net/file/fb3d0a3ff7903d4ee0cc11ccb47d306d/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part3.rar.html

nitroflare_com:
https://nitroflare.com/view/50037BB91DC5C65/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part1.rar
https://nitroflare.com/view/9D45F10F7FF69D3/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part2.rar
https://nitroflare.com/view/5547BBECEA76B13/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part3.rar

uploadgig_com:
http://uploadgig.com/file/download/95176C325a4c8783/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part1.rar
http://uploadgig.com/file/download/9acfdde561e169A3/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part2.rar
http://uploadgig.com/file/download/2664D7D601a7b90b/i16hr.OSCON.Open.Source.Software.Superstream.Series.Live.CodingGo.Rust.and.Python.part3.rar

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[mitsumi1]

Overcome loneliness and isolation quickly with Buddhism
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 333 MB
Genre: eLearning Video | Duration: 10 lectures (30 mins) | Language: English

Overcoming feelings of loneliness and isolation with teachings from Buddhism

What you'll learn

Overcoming feelings of loneliness and isolation with teachings from Buddhism

Requirements

No prerequisites

Description

This course is a short, practical course to help you feel GREAT about being in your own company.

You will no longer feel lonely or isolated by enjoying your day moment to moment in your daily living.

It takes basic teachings from Buddhism and Buddhist insight on Mindfulness and uses it in a practical way so that you can feel instantly better.

Who this course is for:

Anybody

Download link:

rapidgator_net:
https://rapidgator.net/file/26d35375f9493e0c521d08d3e7cb71c7/troky.Overcome.loneliness.and.isolation.quickly.with.Buddhism.rar.html

nitroflare_com:
https://nitroflare.com/view/D2AB471BEC33BEF/troky.Overcome.loneliness.and.isolation.quickly.with.Buddhism.rar

uploadgig_com:
http://uploadgig.com/file/download/1273a716557F728a/troky.Overcome.loneliness.and.isolation.quickly.with.Buddhism.rar

Links are Interchangeable - No Password - Single Extraction

[mitsumi1]

Python AddIns for ArcMap made easy using ArcPy
h264, yuv420p, 1280x720 |ENGLISH, aac, 48000 Hz, 2 channels | 1h 26mn | 440 MB
Created by: Graeme Browning
Gain practical experience in ArcPy and Python

What you'll learn

Develop your own Python AddIns for ArcMap

Requirements

You should have ArcGIS Desktop 10.1 or later installed - only a Basic level license is needed - and be able to start ArcMap.
You should be familiar with ArcMap and the basics of Python and ArcPy.
You should have the Python 2.7.x version installed as part of ArcGIS Desktop and be able to start IDLE (or your choice of IDE) and import arcpy.

Description

When starting to use the ArcPy site-package of ArcGIS Desktop within Python scripting, it is important to understand the workflow for writing and configuring Python AddIns.

This course, which is suitable for English-speaking students from anywhere in the world, was recorded using ArcGIS 10.3.1 for Desktop but should be equally applicable to versions 10.1, 10.2, 10.4 and 10.5. It is not suitable for ArcGIS Desktop 10.0 and earlier versions because Python AddIns only became available at 10.1. ArcGIS for Desktop licensing is not included, but can be obtained for non-commercial purposes from Esri and its International Distributors under the ArcGIS for Personal Use Program.

All necessary data is downloaded from Natural Earth, and solutions to the exercises are available as attachments to download.

In this 89 minute course of 12 videos you will learn how to:

Download the Python AddIn Wizard
Run the Python AddIn Wizard to create a Toolbar with one Button
Use IDLE and Notepad++ to edit Python and XML to configure seven types of Python AddIns
Troubleshoot Python AddIns
Create a Python AddIn that installs an Extension and a Tool
and much more!

Who this course is for:

This course is for those familiar with ArcMap and the basics of Python and ArcPy.
Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/6e89b23f1c30d804477697d034959818/rm0wg.Python.AddIns.for.ArcMap.made.easy.using.ArcPy.rar.html

nitroflare_com:
https://nitroflare.com/view/D76FBA3835749B1/rm0wg.Python.AddIns.for.ArcMap.made.easy.using.ArcPy.rar

uploadgig_com:
http://uploadgig.com/file/download/87D568b7Ccaf7fb3/rm0wg.Python.AddIns.for.ArcMap.made.easy.using.ArcPy.rar

Links are Interchangeable - No Password - Single Extraction

[mitsumi1]

Python for Absolute Beginners (Road to Machine Learning) Part 1
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English | Duration: 21 Lessons (4h 35m) | Size: 4.2 GB

In this series of courses I want to teach you guys basics of machine learning and data analysis in python. In this first course we talk about absolute python basics which are essential for any further data science tasks.

This course is ideal for absolute programming beginners who haven't ever touched any programming language before. The course is also suitable for already experienced software developers who just want to learn a new programming language. Besides basics of python we cover code examples in the visual studio code, one of the best code editors in world nowadays.

Python basics provided in this tutorial are essential for any further machine learning development, which I want to teach in upcoming courses. In this course i provide:

Step by step setup of python for mac and windows,
Visual studio code installation.
In depth explanation of basic python terms.
Best practises from real life python software developer.
Detailed explanation of difficult topics.
All the examples shown in the videos can be downloaded from my github repository.

The course agenda:

Introduction
Python mac installation
Visual studio code installation (mac)
Python and visual studio code windows installation
Hello world
Variables
Data types
Mathematical operations
String operations
Lists
Conditions
Loops
Custom functions
Tuples
Dictionaries
Nested lists and loops
Exceptions
Files
Python modules
Standard input
Project

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/f3742d7183e4f40a0beefa57eb361cc4/bekud.Python.for.Absolute.Beginners.Road.to.Machine.Learning.Part.1.part1.rar.html
https://rapidgator.net/file/8f4d5c3022b59a360c488cc991b9669e/bekud.Python.for.Absolute.Beginners.Road.to.Machine.Learning.Part.1.part2.rar.html
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http://uploadgig.com/file/download/d525ee6f4EAf8Ef0/bekud.Python.for.Absolute.Beginners.Road.to.Machine.Learning.Part.1.part5.rar

Links are Interchangeable - No Password - Single Extraction

[mitsumi1]

Rust Programming Language: The Complete Course
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 58 lectures (6 hour, 24 mins) | Size: 2.34 GB
Master Systems Programming with Rust Programming Language

What you'll learn

Rust Programming Langauge concepts.
Solve problems using Rust Programming.

Requirements

Basic programming experience in any programming language.

Description

Rust is an open-source Systems Programming language that focuses on speed, memory safety, and parallelism. Developers use Rust to create a wide range of new software applications, such as game engines, operating systems, file systems, browser components and simulation engines for virtual reality.

This course teaches you how to install Rust and then familiarize yourself with basic concepts like variables, data types, method syntax, enums, and more. Discover how the unique Ownership Principles of Rust impact the language. Data Handling, Pattern Matching, and Error Handling are also covered. The course also demonstrates use of generic types and traits, File I/O, Iterators and Closure. Then we explore Smart Pointers, Concurrency and Object-Oriented programming in Rust.

Course Contents:

Installing Rust and IDE

Data types

Rust Ownership Model

Memory allocations

Race conditions

Functions

References and Borrowing

Structs

Method syntax

Demonstrating recoverable errors with Result

Working with enums

Generic Types and Traits

Input/Output

File I/O

Iterators and Closures

Smart Pointers

Concurrency in Rust

So let's dive into the course.

Who this course is for:

System Programmers, Software Developers, Computer Scientists

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/6be27e59161c1a5b973600fa3286ab26/v1tu5.Rust.Programming.Language.The.Complete.Course.part1.rar.html
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uploadgig_com:
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http://uploadgig.com/file/download/049c720556CdcB25/v1tu5.Rust.Programming.Language.The.Complete.Course.part3.rar

Links are Interchangeable - No Password - Single Extraction

[mitsumi1]

Sentiment Analysis with LSTM and Keras in Python (Updated)
MP4 | Video: h264, 1280x720 | Audio: AAC, 48 KHz, 2 Ch
Genre: eLearning | Language: English + .srt | Duration: 18 lectures (2 hour, 46 mins) | Size: 924 MB
Learn how to do Sentiment Classification using LSTM in Keras and Python.

What you'll learn

What is Sentiment Analysis
What are RNN and LSTMs
How to apply LSTM in Keras for Sentiment Analysis

Requirements

Basic Python programming

Description

Sentiment analysis ( or opinion mining or emotion AI) 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.

Simple RNNs are not good in capturing long-term dependencies. In this course we unleash the power of LSTM (Long Short Term memory) using Keras.

Who this course is for:

Data scientists
Machine Learning Engineers
Applied Scientists
Research Scientists
College Students

Screenshots

Download link:

rapidgator_net:
https://rapidgator.net/file/cb60a93116e0bb253941f310f7522e4f/7ejz9.Sentiment.Analysis.with.LSTM.and.Keras.in.Python.Updated.part1.rar.html
https://rapidgator.net/file/f8842a23c4d1983b2beca251bbb96df1/7ejz9.Sentiment.Analysis.with.LSTM.and.Keras.in.Python.Updated.part2.rar.html

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https://nitroflare.com/view/F2ADE51C7E0D0E0/7ejz9.Sentiment.Analysis.with.LSTM.and.Keras.in.Python.Updated.part2.rar

uploadgig_com:
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http://uploadgig.com/file/download/56e3a8497dA5bdc8/7ejz9.Sentiment.Analysis.with.LSTM.and.Keras.in.Python.Updated.part2.rar

Links are Interchangeable - No Password - Single Extraction

[mitsumi1]

Software development in Python: A practical approach
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 3.94 GB
Genre: eLearning Video | Duration: 88 lectures (9 hour, 2 mins) | Language: English

Learn to build real apps with python

What you'll learn

Build GUI Applications with Python
Learn Python native threading
Design an App according to a design
Build a .exe app

Requirements

Knowledge in basic python programming

Description

The reason I got into python, I wanted to be a software engineer, I had just built a chat app in PHP and JQuery and a girl asked me if it could run on phone. I responded yes, but I knew that would only be possible using help using non-native means. I wanted native builds, not some complex framework which will only allow me to make a web app whiles I could use the time to study a full fledge programming language. There were others like making a web view app, I didn't like the Idea because there would definetely be setbacks. And I also wanted to be a software engineer or developer, I had built two almost identical CMSs with PHP and I felt I was ready to move into the software development space.

So I made up my mind to go straight into software development, what language should I use? I turned to Google, and Google made it clear that I should turn to python.

The exact thing they did was, they mentioned two things:

1. It is easier to learn and,

2. Some modern applications are built with it. What application blender. I knew blender, it is a beautiful 3d software.

So I got into python because I wanted to build softwares with it.

Today most python programmers actually want to build web apps, python has been so popular, its power is been used to almost overthrow PHP. Personally I don't like it for two reasons:

1. I love PHP, it made me feel like a programmer, more than JavaScript ever did.

2. Python is capable of a lot more, that is not its preserve. Its domain is in the software development world.

The many python developers should be building softwares with it, not web apps. Web apps has many alternatives, but in the software developement space python is almost alone when it comes to learnability, readability and availability. Even on Android we are leaking there soon we will be so there.

I hope you take my humble advice and study software development with python. It is awesome. This course is focused on that. Enjoy lets go.

Who this course is for:

Python developers

Download link:

rapidgator_net:
https://rapidgator.net/file/15f43d60373ac66a53cd4c3984b75e33/a788n.Software.development.in.Python.A.practical.approach.part1.rar.html
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Links are Interchangeable - No Password - Single Extraction