Homework # | Topic | Relative Algorithm | Dataset |
---|---|---|---|
1 | KNN | Vertebral Column Data Set | |
2 | Regression | Linear Regression | Combined Cycle Power PlantData Set |
3 | Classification | Logistic Regression / Naive Bayes | AReM Data Set |
4 | Tree Model / Boosting | XGBoost / LMT / LASSO / Ridge | Communities and Crime Data Set / APS Failure at Scania Trucks Data Set |
5 | Multi-class and Multi-Label | SVM / KMeans | Anuran Calls (MFCCs) Data Set |
6 | Supervised / Semi-supervised / Unsupervised Learning, Active Learning / Passive Learning | SVM / KMeans / Spectral Clustering | Breast Cancer Wisconsin (Diagnostic) |
7 | Deep Learning | LSTM / CNN | Bertrand Russell's bboks from Project Gutenberg |
Just for a reference. Take your own risk.