Machine Learning for Quants

A comprehensive journey from linear models to deep learning for finance.

Lesson 1.0: The ML Landscape: Supervised, Unsupervised & Reinforcement Learning
Completed
20 min
Lesson 1.1: The Core Problem: The Bias-Variance Tradeoff
Completed
25 min
Lesson 1.2: The Golden Rule of ML: Train, Validate, Test
Completed
25 min
Lesson 1.3: The Data Preprocessing Toolkit: Why and How to Scale Your Features
Completed
20 min
Lesson 1.4: Your First Predictive Model (Intuition): K-Nearest Neighbors (KNN)
Completed
30 min
Lesson 1.5: Our First Continuous Model (Intuition): Simple Linear Regression
Completed
15 min
Lesson 1.6: Our First Scoring System: Accuracy, Confusion Matrix, Precision, Recall, F1-Score
Completed
20 min
Lesson 1.7: Measuring Regression Error: MSE and R-Squared
Completed
15 min