Machine_Learning_Contest-and-Tricks

Data Preprocessing

    Categorical_feature -> It Converts your categorical feature into 3 diffeerent techniques(LabelEncoder, Binarization, OneHotEncoding) along with it also handles missing values.

Cross Validation

Types of Problems

  • Binary Classification
  • Multi class Classification
  • Multi Label Classification
  • Single Column Regression
  • Multi Column Regression
  • Holdout

Types of CV

  • KFold
  • Stratified KFold
  • Multilabel Classification
  • Regression Cross-Validation
  • Hold-Out based Validation