(3-1 data science term-project)
- Data size: 21614
- dirty data: 423
- category: 18
- cleaning dirty data
- categorical -> numerical
- feture reduction
- normalization(standard scaler)
- feature selection
- KNN Algorithm (grade)
- multiple regression (price)
- using 'cross_val_score' function
- using bagging classifier
- using confusion matrix