Linear Regression Part 11 | R2 and Adjusted R2 | Coefficient of Determination
Hello Students,
In this series, we are going to learn the different approaches to solve a problem that often encounters in our placements using C++. The following problems we are going to solve in the given series:-
1. Introduction.
2. Basic Intuition.
3. General intuition of OLS.
4. Ordinary Least Squares.
5. Gradient Descent - Intuition.
6. Gradient Descent - Finding the loss function and it's derivative.
7. Gradient Descent - Learning Rate.
8. Gradient Descent - Multi-variable Gradient Descent.
9. Code Example.
10. Regression Metrics, Mean Absolute Error, Root Mean Squared Error.
11. R2 and Adjusted R2, Coefficient of Determination.
12. Polynomial Regression, Intuition and code Example,
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