The Complete Ensemble Learning Course 2021 With Python

Learn to create Ensemble Learning Algorithms in Python with Real World example on practical ways

What you'll learn
Support vector machines
Logistic Regression Implementation
Decision trees
K-Nearest Neighbors
K-means
Hard and soft voting
Meta-Learning
Base learners and meta-learner
Bootstrapping
Bagging
AdaBoost
Gradient boosting
XGBoost
Forest trees
Random forests
Extra trees
Keras.
Pandas.
Matplotlib.

Description
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:

Handwritten Digit.

Breast Cancer Detection

Diabetes Prediction

Bitcoin Predictions

Movie Recommendation system

Become a machine learning guru today! I will see you inside the course!

Who this course is for:
Anyone interested in Deep Learning, Machine Learning and Ensemble Learning
Students who have at least high school knowledge in math and who want to start learning Machine Learning, and Ensemble Learning
Any intermediate level people who know the basics of machine learning, including the classical algorithms like linear regression or logistic regression, but who want to learn more about it and explore all the different fields of Machine Learning.
Any students in college who want to start a career in Data Science.
AI experts who want to expand on the field of applications.
Data Scientists who want to take their AI Skills to the next level.
Anyone passionate about Machine Learning and Ensemble Learning.