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ML Classification 3.5: Naive Bayes

Nov 4, 20248 min read49 views

Hello and welcome back to the blog of machine learning. Today we will learn about Bayes theorem. Our main focus for this blog is on naive but we can’t...

ML Classification 3.5: Naive Bayes

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 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 2.2: Multiple Linear Regression

Oct 21, 202416 min read39 views

Welcome to Part 2.2 of Machine Learning! Here is the equation for multiple linear regression. As you can see, it is quite similar to our linear...

Machine Learning Chapter 2.2: Multiple Linear Regression

Searching Algorithms: Linear and Binary

Aug 20, 20243 min read17 views

A searching algorithm finds specific elements within a collection, like an array or list. Common methods include Linear Search, which checks each...

Searching Algorithms: Linear and Binary