Module 3: AI / Machine Learning
Regression, classification, algorithmic trading, credit scoring, fraud detection, NLP, explainability, bias, regulation
12Lessons
Lessons
| # | Title | Slides | Mini-Lecture | Notebook |
|---|---|---|---|---|
| 25 | Intro to AI/ML | Mini | Colab | |
| 26 | Financial Data | Mini | Colab | |
| 27 | Regression | Mini | Colab | |
| 28 | Classification | Mini | Colab | |
| 29 | Algorithmic Trading | Mini | Colab | |
| 30 | Credit Scoring & Risk | Mini | Colab | |
| 31 | Fraud Detection & AML | Mini | Colab | |
| 32 | NLP in Finance | Mini | Colab | |
| 33 | Robo-Advisors (ML) | Mini | Colab | |
| 34 | Market Prediction | Mini | Colab | |
| 35 | Explainability & Bias | Mini | Colab | |
| 36 | AI Regulation & Future | Mini | Colab |