On-going study of "Approaching (Almost) Any Machine Learning Problem" book
Abhishek Thakur
- Supervised & unsupervised learning
- Cross Validation
- Evaluation Metrics
- Arranging machine learning projects
- Approaching categorical variables
- Feature engineering
- Feature selection
- Hyperparameter Optimization
- ([ ] Approaching image classification & segmentation - NOT COVERED)
- Approaching text classification/regression
- Approaching ensembling & stacking
- ([ ] Approaching reproducible code & model serving - ALREADY COVERED)
- Sparse matrix explanation: https://dziganto.github.io/Sparse-Matrices-For-Efficient-Machine-Learning/