👉 Check all topics on this site.
- Confusion matrix & f1-score
- Datasets Collection
- DBSCAN / HDBSCAN Clustering •
- Decision Tree Classifier
- Decision Tree Regression
- Dimensionality Reduction: t-SNE & UMAP •
- DS & ML with Mac M1 •
- K-Means & K-Medoids Clustering •
- K-Shape clustering •
- Mean Shift clustering •
- Metrics for clustering
- ML by Andrew
- Pipeline & GridSearch
- Principal Component Analysis (PCA)
- Random Forest
- Reading - Hands-On ML with Scikit-learn, Keras & TF • †
- Resources for DS & ML & DL
- Support Vector Machine (SVM)
•Draft notes. †Private notes. Outside this site.