The Complete Ensemble Learning Course 2022 With Python Udemy udemy course free download

What you'll learn:

The Complete Ensemble Learning Course 2021 With Python

  • 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.

Requirements::

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:

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:

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

Who this course is for:

Course Details:

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