Machine learning, the field of computer science that gives computer systems the ability to learn from data, is one of the hottest topics in computer science.

Machine learning is transforming the world: from spam filtering in social networks to computer vision for self-driving cars, the potential applications of machine learning are vast.

This course covers the foundational machine learning algorithms that will help you advance in your career. Whether you’re trying to analyze a dataset using machine learning, or you’re a data analyst trying to upgrade your skills, this course is the best place to start.

You should be comfortable with Python, including functions, control flow, lists, and loops.

The Program

1. Introduction to Machine Learning.
2. Linear Regression.
3. Multiple Linear Regression.
4. Yelp Regression Project.
5. Classification Vs Regression.
6. Classification: K-Nearest Neighbors.
7. Logistic Regression.
8. Decision Trees.
9. Clustering: K-Means.
10. Perceptron.
11. Artificial Intelligence Decision Making: Minimax.