Linear Regression in Python - Machine Learning From Scratch 02 - Python Tutorial

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In this Machine Learning from Scratch Tutorial, we are going to implement the Linear Regression algorithm, using only built-in Python modules and numpy. We will also learn about the concept and the math behind this popular ML algorithm.

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#Python #MachineLearning

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[dr_flunks]

this is a really nice summary of the fundamentals. perfect for brushing up after learning about ML from 5 years ago. really solid.

[vazhamamatsashvili]

In case anyone's wondering why increasing the learning rate decreased the cost, it's because the number of iterations is very low in order for gradient descent to converge. So if lower learning rate gives you higher cost, you should increase the number of iterations.

[soumyas.tripathi]

Sir you deserve more than you have right now! you made a 13 year old guy teach those high level concepts. Loads of love from India!

[GodzillaTheInventor]

Thank you very much! I am from China, not only can you give us good tutorial but also your English is very cleary so that I can improve my English listening level. Thank you very much! 唯一真神。

[thanhquocbaonguyen]

thank you sir you just saved me from my assignment this semester. the instructions were very clear and visual. please keep producing videos!

[rickymacharm]

Good work with detailed explanations. Always happy when I am struggling with a concept to see you have a video out even remotely related to what I am working on.

[tassoskat]

Excellent work!
To evaluate our model we could also use the coefficient of determination (R**2) which is not affected by the scale of our measurements like MSE does.

[yangthomas]

such a nice content, it made me so satisfied. love from China

[Christopher_Tron]

Couldn't have done this without your help! And I needed this, thanks man

[abhishekbhardwaj]

Short and sweet :), extremely helpful.

[ashish-blessings]

Not just the content, I love your accent. :D

[paulaperdomo]

Hello, I was wondering why at minute 12:25, when calculating the dw parameters you don't use np.sum if it includes the sum in the formula. Also is there a reason its included with parameter db?

[linlinsun]

Thanks for your amazing explaination about all ml algorithms, which helped me a lot!

[kougamishinya]

This helped me so much, you explain it so clearly and your code is really neat and easy to understand! Thanks so much! Subbed, liked and will be using your videos as my ML bible from now on XD

[MicahJohns]

Subbed, thanks for the video! A bit over my head (for now) but i'm getting there.

[manideepgupta]

Thank you very much for such wonderful explanations....!! I hope you make more such videos...

[flamboyantperson]

Bro, I really really really need you. Please make more videos on Machine Learning and please make more frequently. You take 1 week to make 1 video which is not fair. Please 2-3 videos in a week. Please it's my humble request.

[oxanakovalenko]

Hmmm...I wonder why mse is so high, the graph looks prefectly fine. Anyway, great tutorials, thank you so much! Definitely waiting for gradient boosting tutorials!

[mouadakharraz]

thank you so much for thoses great tut, can u please re-explain the line 20 from fit method i cant understand why we transpose the X matrix...

[satyakikc]

Thank you so much for the video..keep up the good work !