Preprocessing - scaling, Min-max scalar, standard scalar for numerical data.
One hot encoding - for categorical data.
Dimensionality reduction: PCA- Principal component analysis
Feature engineering - Creating features, boolean features, splitting the features.
KNN - classifier, Cross validation to find k.
Classifier evaluation - Confusion metrics. Accuracy, precision, recall, F1.
Binary classification - Logistic regression, evaluation process.
