Did you know more data has been created in the past two years than in the rest of human history? That’s why machine learning models that find patterns in data and make decisions are so important. Learn how to build them with Python.

For those who want to

• Level up their Python skills.
• Learn advanced programming.
• Have fun with ML and AI.

The Program 

1. Introduction to Machine Learning.
2. Supervised Learning: Regression.
3. Regression Cumulative Project.
4. Supervised Learning: Introduction to Classification.
5. Supervised Learning: Advanced Classification.
6. Supervised Machine Learning Cumulative Project.
7. Unsupervised Learning.
8. Unsupervised Machine Learning Cumulative Project.
9. Perceptrons and Neural Nets.
10. Machine Learning Capstone Project.

What will you learn

• Use Python to scrub for inaccurate data points and then reformat the data to make it more useful to you.
• Understand when to use exploratory techniques like clustering, or predictive techniques like regressions or classifications.
• Like Netflix and Amazon, use predictive modeling to suggest other things people might like based on past data.