Machine Learning Practical Workout | 8 Real-World Projects

 Machine Learning Practical Workout |  8 Real-World Projects


Machine Learning Practical Workout | 8 Real-World Projects is the name of an applied machine learning course in which you will learn deep learning/machine and neural networks by building 8 projects from basic to professional. The aim of this course is to provide key knowledge for the practical use of deep/machine learning techniques in an easy and interesting way. In this course, learners will get a practical experience to train different models using datasets from the real world, and to different topics such as image classification, development of prediction models, development of natural language processing models or NLP and systems Bidders will pay like the examples used on Amazon and Netflix.

What you will learn in this course:

  • Deep learning applications
  • Machine learning applications
  • How to use artificial neural networks to predict car sales
  • How to use deep neural networks for image classification
  • How to use LE-NET neural networks to classify traffic signs
  • How to use TRANSFER model learning to classify images based on CNN
  • How to use PROPHET TIME SERIES to predict mass and market conditions
  • Development of NLP model to analyze comments and find spams
  • Using USER-BASED COLLABORATIVE FILTERING to develop recommender system

Course details

Publisher: Udemy
Instructors: Ryan Ahmed, Mitchell Bouchard, Agency Team
English language
Education level: introductory
Number of courses: 90
Duration: 14 hours and 14 minutes

The headings of the Machine Learning Practical Workout course 8 Real-World Projects 2021-2:

Course prerequisites:

Deep Learning and Machine Learning basics

PC with Internet connection


Machine Learning Practical Workout 8 Real-World Projects

Sample video

Installation guide

After Extract, view with your favorite Player.

English subtitle

Quality: 720

download link

Download part 1 – 2 GB

Download part 2 – 2 GB

Download part 3 – 2 GB

Download part 4 – 304 MB

Password file(s):


6.3 GB

4.1/5 – (4623 points)

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