The Complete Ensemble Learning Course 2022 With Python

Welcome to The Complete Ensemble Learning Course 2021 With Python

Interested in the field of Machine Learning? Then this course is for you!

This course has been designed by two professional Data Scientists so that we can share our knowledge and help you learn complex theory, algorithms, and coding libraries in a simple way.

We will walk you step–by–step into the World of Machine Learning. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub–field of Data Science.

This course is fun and exciting, but at the same time, we dive deep into Machine Learning. It is structured the following way:

Section 1: Introduction.

Section 2: Basic Machine Learning concept

Section 3: Basic Ensemble Learning concept

Section 4: Voting Method

Section 5: Stacking Method

Section 6: Bagging Method

Section 7: Boosting Method

Section 8: Random Forests.

Section 9: Clustering

Section 10: Predicting Bitcoin Prices – REAL WORLD PROBLEMS

Section 11: Movie Recommendation system –REAL WORLD PROBLEMS

Moreover, the course is packed with practical exercises that are based on real–life examples. So not only will you learn the theory, but you will also get some hands–on practice building your own models. There are two big projects one three small projects to practice what you have learned throughout the course. These projects are listed below: