Course content from ACM AI's Winter 2022 iteration of beginner track workshops.
Software Used: Python3 (Google Colaboratory + Jupyter Notebook), TensorFlow (Playground), scikit-learn, NumPy, Pandas
Asset Cluster: https://tinyurl.com/acm-ai-beginner-assets
Guiding Officers: Jenson Choi, Sudhanshu Agarwal, Claire Huang, Naman Modani
| Workshop | Agenda | Date |
|---|---|---|
| 1 | Intro to ML | January 13 |
| 2 | K-Nearest Neighbors | January 20 |
| 3 | Linear Regression | January 27 |
| 4 | Logistic Regression | February 3 |
| 5 | Multiclass Classification | February 10 |
| 6 | Machine Learning Libraries | February 17 |
| 7 | Guided Project - I | February 24 |
| 8 | Guided Project - II | March 3 |