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Projects in Machine Learning is the name of a set of video training in developing and working with software engineering in the Machine Learning branch (one of the broad and widely used branches of artificial intelligence). This tutorial gives you all the basic and basic training. You will also learn advanced and professional tips as you progress through the sessions of this course. This tutorial is referred to as a comprehensive guide to understanding and learning the concept of machine software. This tutorial also attempts to teach you what is used in reality and in the world. By watching this course you will also master the types of algorithms available.

Course Features of Projects in Machine Learning

Dear students, by learning and learning the concepts, tips and tutorials in this course, you will learn the general and real concept of a car. Honorable students, you will also have 66 video training sessions ahead of you.

Course specification:

  • Publisher: Udemy
  • Instructor: Eduonix Learning Solutions, Eduonix-Tech., Samy
  • Level: Basic to Advanced
  • Duration: 15:27:25
  • Number of lessons: 66 lessons
  • English language

Projects in Machine Learning headings

An Introduction to Machine Learning

7 lectures


Supervised Learning – part 1

10 lectures


Unsupervised Learning

7 lectures


Neural Networks

5 lectures


Real World Machine Learning

6 lectures


Warmup Project

3 lectures


Project 1Board Game Review Prediction

4 lectures


Project 2 Credit Card Fraud Detection

3 lectures


Project 4 Intro to Natural Language Processing

4 lectures


Project 5 Object Recognition

4 lectures


Project 6 Image Super Resolution

3 lectures


Project 7 Text Classification

3 lectures


Project 8 – KMeans

3 lectures


Project 9 PCA

4 lectures



Basic knolwedge of Python is required to compile and run the examples

Basic knolwedge of mathematics is assumed


Projects in Machine Learning

Installation guide

View with your favorite Player after Extract.

This version is provided with English subtitles.

download link

Download part 1 – 1 GB

Download part 2 – 1 GB

Download part 3 – 1 GB

Download part 4 – 0.98 GB

File password (s):


4 GB

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