Matplotlib & EDA

Introduction to basic statistics

Probability and Distribution

Corelation

Revision of Pandas

Preprocessing

Linear Regression

Classification

Logistics

SVM

Native Bays

KNN

Decision Tree

Random Forest

Bagging & Boosting Model Saving

Clustering, K Means

Performance measures

Hieraehical

Projects