I made a video covering how you can implement Multiple Linear Regression on a dataset using Gradient Descent Algorithm. Gradient Descent is an optimization algorithm that is used to find the optimal values for the collection of model parameters for any regression model. It is also used in various other complex machine learning algorithms.
To learn about Gradient Descent Algorithm from scratch, check out this video where I discuss about the Gradient Descent Algorithm piece by piece. In this video I have also discussed in great depth about Multiple Linear Regression and how it is different from Simple Linear Regression.
For the implementation using Python from scratch without any libraries like sklearn, check this out:
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