Linear Regression Part 4 | Ordinary Least Squares

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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[@pritamsadhukhan2538]

Excellent teacher I have ever seen. Really worth it. Really worth it. Salute you sir to make us understand in such a easier way.

[@purushottammitra1258]

Really Very "AWESOME"😊😊😊!!! I Understood OLS So Clearly For The First Time,,,Thanks A Lot👌👍👍👍👍

[@Otaku-Chan01]

very nice explanation sir!!
I haven't seen any video of Linear Regression with this much clarification
Thank you for such quality content video

[@jelinjose1533]

This is so well explained i have been trying hard to understand between OLS and Gradient descent.Thank you for these videos.Please do more of it .

[@campusx-official]

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[@awaisaslam4406]

It's Awesome..❤

[@messedinsaan]

was finding the right derivation everywhere...thanks

[@aryanlashkari7954]

Phli bar mai kch smj ni aya
Dusri bar mai pura smj aagya

[@tusharverma2433]

just one word awesome

[@JayPatel-bo1fu]

24 CARAT GOLD. THANK YOU SIR FOR THIS CONTENT.

[@rambaldotra2221]

Excellent Explaination Sir ✨

[@indranilbiswas629]

lovely man

[@tharunnl7810]

can you please let me know how this formula changes when we have multiple independent
features

[@suchetabiswas9140]

Hey can you provide complete explanation about support vector machine, like soft and hard margin and hyperplane choosing and what is the machine in support vector machine???

[@ashishvinod2193]

Sir we've to use multiple linear Regression if we've more than 2 two variables.

[@PARAGK09]

Good

[@arshad1781]

Thanks

[@flower88able]

Hi, there is a mistake. You replaced y(i) hat with mx(i) + b but it should be replaced with mx(i) hat + b.

[@snehasneha3822]

I couldn't understand, could yu plz make math series

[@ANILKUMAR-mn7pk]

little doubtfull or wrong