The Classification algorithm is a Supervised Learning technique that is used to identify the category of new observations on the basis of training data. In Classification, a program learns from the given dataset or observations and then classifies new observation into a number of classes or groups
- Decision_Tree_Classification
- Decision_Tree_Classification Dataset
- Logistic Regression
- Logistic Regression Dataset
- Random_Forest_Classification
- Random_Forest_Classification Dataset
- Support Vector Machines
- Support Vector Machines Dataset
- Naive Bayes
- Naive Bayes Dataset
- KNN
- KNN Dataset
- CatBoost
- CatBoost Dataset