Machine Learning

Author: Mary Bun

All notebooks in this repository are reports on homework assignments in EE 399A, Introduction to Machine Learning for Science and Engineering, a UW course designed by J. Nathan Kutz for Spring 2023.

Table of Contents

1. Curve Fitting
2. Correlation
3. Classifying A Dataset
4. Building A Neural Network
5. Lorenz Equations and Forecasting
6. SHallow REcurrent Decoder (SHRED)