Last updated: Dec 14, 2021

Linear Regression

Learn about Linear Regression, a simple yet powerful algorithm for determining variable relationships. It should be noted that Linear Regression is limited to only one variable.

Gradient Descent Algorithm

This blog covers the Gradient Descent algorithm in its entirety

Author Pratyksh_7855

0 upvotes

Stochastic Gradient Descent

This article will cover the basics of Gradient Descent, the importance of learning rate, and an in-depth explanation of SGD and specific significant differences between GD and SGD.

Author Mayank Goyal

1 upvote

Mini-Batch Gradient Descent

Mini-Batch gradient descent is an algorithm optimization technique under gradient descent that divides the data set into batches making computation easy & fast.

Author Tushar Tangri

1 upvote

Linear Regression Introduction EASY

In this blog, We'll see what a Regression problem is, and then we'll study the working of the Linear Regression Algorithm and its implementation

Author Ritik Arora

0 upvotes

Linear Regression in Machine Learning MEDIUM

In this blog, We'll see what a Regression problem is, and then we'll study the working of the Linear Regression Algorithm and its implementation

Author Akash

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Linear Regression: Theory and Code from Scratch

The objective of this blog is to understand the theoretical and practical implementation of linear regression

Author Tashmit

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Multivariable Regression and Gradient Descent

This blog will learn about the exciting Machine learning algorithm, Multivariate Regression, and Gradient descent algorithm. We will focus on the mathematics behind these algorithms.

Author Rajkeshav

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Multivariate Linear Regression - Implementation

In this blog, we’ll learn the mathematical significance and python implementation of multivariate linear regression.

Author Arun Nawani

0 upvotes

Linear Regression on Boston Housing Dataset MEDIUM

This blog discusses Linear Regression which is used to predict prices on the Boston Housing Dataset. It also discusses the implementation of Linear Regression using the sklearn library.

Author Anant Dhakad

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