Course Highlights
  • Create a linear model, and implement gradient descent.
  • Train the linear model to fit given data using gradient descent.
Curriculum

10 Topics
Introduction
Dataset
Initialize Parameters
Forward Pass
Compute Loss
Backward Pass
Update Parameters
Training Loop
Predictions
Additional Example

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Linear Regression with Python

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