Contents

Linear Regression	SVM (Support Vector Machine)	KNN (K-Nearest Neighbors)
Logistic Regression	Decision Tree	Random Forest
Naive Bayes	Dimensionality Reduction	K-Means
	Gradient Boosting Algorithm