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ML Classification: K-NN (K-Nearest Neighbor)

Oct 29, 20244 min read31 views

Hello and welcome back to the ML blogs. Today we will learn about the K nearest neighbor. Let’s get started! Intuition Let’s say you have a plot where...

ML Classification: K-NN (K-Nearest Neighbor)

Machine Learning Regression Model Selection in Python

Oct 26, 20242 min read40 views

This blog is made based on the past six regression I have taught. · Hello, welcome back to ML! So far, we have covered regressions, and this blog is...

Machine Learning Chapter 2.6: Random Forest Regression

Oct 25, 20242 min read59 views

Hello and welcome back to Machine Learning! Today, we'll learn about the intuition behind random forests and how to apply them step by step in Python....

Machine Learning Chapter 2.6: Random Forest Regression

Machine Learning Chapter 2.5: Decision Tree Regression

Oct 25, 20244 min read33 views

Welcome to another blog on Machine Learning! Today we are going to have a look at the Decision Tree Regression. Intuition There is a term called CART...

Machine Learning Chapter 2.5: Decision Tree Regression

Machine Learning Chapter 2.4: Support Vector Regression (SVR)

Oct 23, 20244 min read29 views

Welcome to Machine Learning! Support vector regression was created in the 90s by Vladimir Vapnik and his team at Bell Labs, which was known as AT&T...

Machine Learning Chapter 2.4: Support Vector Regression (SVR)

Machine Learning Chapter 2.3: Polynomial Regression

Oct 22, 20245 min read46 views

Welcome back to Machine Learning! Today we’ll talk about Polynomial Regression Polynomial Regression Intuition If you look carefully, polynomial...

Machine Learning Chapter 2.3: Polynomial Regression