BANA7046 Data Mining I

Syllabus

1. Linear regression, model selection, cross-validation 

2. Tree, random forest, boosting tree

3. neural network and deep learning

4. feature engineering, genetic algorithm

5. model averaging

6. Logistic regression, classification