01 -- Intro (pandas + matplotlib)

02 -- Exploratory Data Analysis and Linear Regression

03 -- Gradient descent by hands

04 -- SVM, probability calibration, feature selection

05 -- Decision tree

06 -- BVD

07 -- Gradient Boosting

08 -- Kernels

09 -- EM

10 -- Recommendation systems

11 -- GLM