HumachLearn course

Machine Learning

Learn how machine-learning algorithms fit, generalise and fail, then practise validation, tuning, calibration, interpretation and production thinking.

13 modules95 lessons65–90 hours
0/95 lessons complete
01ML Foundations6 lessons
02Math for ML7 lessons
03Data Preparation for ML7 lessons
04Linear Models7 lessons
05Instance & Kernel Methods7 lessons
06Tree Models7 lessons
07Boosting7 lessons
08Unsupervised Learning6 lessons
09Validation & Leakage8 lessons
10Hyperparameter Optimisation8 lessons
11Metrics, Calibration & Thresholds9 lessons
12Interpretation & Production Thinking8 lessons
13Capstone Project8 lessons