Support Vector Machines: linearly separable case
The post examines how SVM classifies data based on support vectors
Supervised Learning
Logistic regression
The article examines how logistic regression works
Multiple Linear Regression
This post is about multiple linear regression, gradient descent, and normal equation.
Univariate Linear Regression: Simple Linear Regression
This article provides a comprehensive explanation of simple linear regression. It covers topics such as linear functions and adjusting parameters of linear regression using gradient descent.