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Linear Regression using Gradient Descent Part-2

Raunak Wete
Machine learning , Python

Introduction In this blog we are going to learn on how to implement Linear Regression using Gradient Descent using Python. We will not be directly using ML libraries like scikit-learn but instead do from scratch to increase our understanding. For representing the data we will be using NumPy library as it is efficient and we don’t need to waste our time creating a matrix library.

Linear Regression using Gradient Descent Part-1

Raunak Wete
Machine learning , Maths

Introduction Linear Regression is one of the simplest and most fundamental algorithms in Machine Learning and Statistics. It is used to model the relationship between a dependent variable (target) and one or more independent variables (features). The primary objective is to find the best-fitting line that minimizes the error between the actual and predicted values.