Notes
Machine Learning
Core Machine Learning concepts, algorithms, model evaluation, and best practices.
These notes are being written. Each topic below will become its own page. Contributions are welcome — every page is a Markdown file in the repository.
Planned topics
| Topic | Level | Tags |
|---|---|---|
| Types of ML | beginner | supervised, unsupervised, reinforcement learning |
| ML Algorithms | intermediate | regression, classification, clustering |
| Model Evaluation | intermediate | cross-validation, metrics, confusion matrix |
| Feature Engineering | intermediate | feature selection, scaling, normalization |
| Hyperparameter Tuning | advanced | grid search, random search, bayesian optimization |
| Ethics in ML | intermediate | bias, fairness, explainable AI |