Category Machine Leaning Articles

S05L07 – Assignment solution and OneHotEncoding – Part 01

S05L08 – Assignment solution and OneHotEncoding – Part 02

S06L01 – Linear regression working and Cost function

S06L02 – Linear regression implementation in python – Part 1

S06L03 – Linear regression implementation in python – Part 2

S07L01 – Multiple linear regression in Python

S07L02 – Multiple linear regression behind the scene – Part 1

S07L03 – Multiple linear regression behind the scene – Part 2

S08L01 – Polynomial regression

S08L02 – Polynomial regression on multiple feature dataset

S09L01 – Bias, Variance and overfitting

S09L02 – Gradient decent – Background

S09L03 – Gradient descent in 2D and 3D space

S10L01 – Measuring Entropy and Gini

S10L02 – Decision Tree implemenation – 1 feature

S10L03 – Visualization of decision tree model

S10L04 – Decision Tree implementation – multiple features

S11L01 – Ensemble Learning

S11L02 – Random Forest

S12L01 – Bagging

S12L02 – Boosting

S13L01 – AdaBoost and XGBoost regressor

S14L01 – SVM (regression) Background

S14L02 – SVR under Python

S15L01 -R-square