Unsupervised Learning with Python — Advanced
Advanced unsupervised ML — hierarchical clustering, DBSCAN, GMM, spectral clustering, anomalies, text/NMF, and incremental PCA. 23 lessons, 184+ drills.
Who it's for
Learners who completed core unsupervised clustering and need advanced algorithms, anomaly workflows, and text topic modeling.
What you'll learn
- Apply spectral, mini-batch, hierarchical, DBSCAN, and GMM clustering
- Tune DBSCAN and GMM with BIC; combine internal metrics and BIC to choose k
- Chain PCA with clustering; use t-SNE and IncrementalPCA
- Run anomaly workflows with IsolationForest and LOF
- Cluster and topic-model text with TF-IDF, NMF, and TruncatedSVD
Course contents
- 01Advanced Clustering · 11 lessons
- 02Dimensionality & Visualization · 3 lessons
- 03Anomaly Detection · 4 lessons
- 04Text & Topics · 3 lessons
- 05Capstone & Review · 2 lessons