Multivariable Linear Regression using Gradient Descent Algorithm in Python,Step by Step from scratch

Step by Step implementation of Multivariable Linear Regression using the Gradient Descent algorithm in python. The python code is built up from the scratch and validated using the built-in Linear Regression function of sklearn.

Multivariate linear regression can be done using the gradient descent algorithm to find the minimum cost or loss. This video describes each part in detail.

I have also shown how to predict y for new data using the model(s).

The data is available in the link below:
https://github.com/kcpaul34/Linear_Regression_using_gradient_descent/blob/main/D3.csv

Credit for the Data and the slides: Professor Chen, UNCC.

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