This repo is for holding the materials for the DM summer course in SYSU.
Please navigate into the subfolders to see specific instructions for each of the materials.
Lessons:
- L0: Self Evaluation
- L1: NumPy and Pandas
- L2: LSH
- L3: Data Preprocessing
- L4: Optimal Histogram
- L5: Decision Trees
- L6: GaussianNB, KNN and Cross-validation
- L7: Naive Bayesian Classifiers
- L8: Clustering
- L9: Apriori Algorithm