Data science and machine learning in chemical engineering

These are lecture notes from a mini course I taught on data science and machine learning in chemical engineering.

These are the official lectures from the class. I hope they work for you, but there may be links to files in a google drive that only CMU students can access. Let me know in an issue if you find one.

1. Introduction
2. Using numpy
3. Interactive visualization with numpy and matplotlib
4. Introduction to Pandas
5. Intermediate Pandas
6. Pandas as a database
7. Introduction to linear regression with sklearn
8. Intermediate sklearn
9. Nonlinear models in sklearn
10. Random Forest regression

Good luck!