Machine Learning with Scikit Learn

COURSE DESCRIPTION

In this course, you will learn how to implement Regression Models, Classification Models, Probabilistic Models, Clustering Algorithms, Dimensionality Reduction, and Unsupervised Learning Machine Learning algorithms in Scikit-Learn.

QUIZ

Quizzes at the end of each chapter will help you to learn quickly.

LEARNING OUTCOMES

• Over 17 lectures and 25 hours of content!
• Quizzes at the end of each Chapter.
• Learn how to implement Regression and Classification Models.
• Implement Decision Trees and Random Forests machine learning algorithms.
• Learn to implement K-Nearest Neighbors and Support Vector Machines for Regression and Classification.
• Take your first step towards neural networks in Scikit Learn with Multi-Layer Perceptron.
• The practical knowledge by implementing Clustering and  Unsupervised Learning.