Multiple Linear Regression in Python from Scratch | Explained Simply

In this video, we will implement Multiple Linear Regression in Python from Scratch on a Real World House Price dataset. We will not use built-in model, but we will make our own model. This can be a good way to understand multiple linear regression and how to build models in python from scratch.

So I hope that, by the end of the video, you are able to implement and use it by yourself !

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It contains the code and the dataset, along with the proper explanation.

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Your Lane to Machine Learning !!

[guillermoernestomedina]

This is by far the best explanation from scratch there is on this topic, keep it up!

[obensustam]

I watched all the videos in this playlist to prepare for my exam. It was very helpful. Thank you :)

[shivammishra-jfnq]

Very much helpfully!!!! Explaining difficult concepts in easy way👌great work
Plz also upload the separate videos on feature engineering.
A lot of confusion is in this topic.

[mohitpatil]

Great content brother. Keep it up, you'll eventually gain views. Keep posting stuff! Thanks

[omarsabbah]

thank you for the wonderful explanation, my only problem is in the end when you wrote the error as percentage
thats not a percentage you calculated the magnitude of error and averaged it, this shouldn't be a percentage unless you unless you divide it over the total value

[AndayRubin]

Thank you so much man, for keeping it simple.

[upendrar]

Hi, thanks for the great content on ML & DL. Keep up the good work. I have one question though, how is accuracy right metric for this regression problem? Isn't it right to express the error in terms of MSE?

[oybekeraliev]

Perfect explanation man. Good luck. Thanks .

[IbrahimAli-kxkp]

Don't stop making such great content 💙

[Jayanth_mohan]

Heyya bro your video helps me a lot to understand the math of algorithms . I request you to upload video regarding the data preprocessing u mentioned in pdf

[maenkarchipay]

meanwhile my university professor : do it without built in function

[npsvenkatesh]

Great content! Can you also add ridge and lasso regression concepts and coding from scratch in python please?

[miniwin]

In this example did you use Neural Network? If we want to use NN where should I place NN in this example?

[mujtaba]

Hello
I wanted to ask that is it neccesary to reshape data sets or not ?

[shivamdubey]

great just one question why we took theta as zero

[oishikakhairesha]

Wonderfully explained, but unfortunately the link doesn't seem to work. 🥺

[js]

I would like have your book, how can obtain?

[ravipatiramya]

ValueError: shapes (5681, 9) and (21, 1) not aligned: 9 (dim 1) != 21 (dim 0) I am getting this error what can I do