Machine Learning with Scikit-Learn Python | Polynomial Linear Regression

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In this video, I've explained the concept of polynomial linear regression in brief and how to implement it in the popular library known as sci-kit learn. Stay tuned, more sci-kit learn videos are coming!
#scikitlearn #machinelearning #python

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Thank you very much for this video! It was a great and very informative video! Really enjoyed seeing the actual output for PolynomialFeatures!

tymothylim

Thank you very much, I finally understood why we need to perfom a linear regression in a polynomial fit. I am glad you were very explicit.
But, if it is possible, I would like to ask you one question, why do you need line 19? I mean, what is the purpose of: poly.fit(X_train, Y_train)?

_victor_piano

Very nice explanation, thank you!
I had implemented this algorithm from scratch in past, but i didn't know we should actually call it polynomial linear regression. But i see everywhere, people mention it as polynomial regression with same theory, but both are different. So should i call it as polynomial regression only? (Keeping the differences aside)

DANstudiosable

your videos are awesome, keep them coming and you will grow massively ! can i ask - what program do you use to write with a graphics tablet? i.e. at 2:50

Liam-eq

Thank you very much for this video but could you explain why you've performed standardization first and train_test_split later? Doesn't that lead to overfitting and is a known data leakage scenario?

shaktijain

Nice explanation. dude
I have a small doubt. You are performing the fit transform on X, then you are splitting the data. is it the right way to do it??

AMVSAGOs

Great video, I was wondering if you should always polyfit your features prior to using linear regression (assuming processing power isn't an issue) so that the model can look at higher-order comparisons and find the best model? when would you only want to use linear regression without this?

josephhodson

Nice explanation brother, I have one query how can we determine the coefficients of the polynomial fit using Python, can you help me regarding this.?

sandeepgodiyal

My god, I'm just throw my headphones in library when this intro begins

osmanacar

Thanks! @6:45 how do you know you have 10 features and count for each number of degree n features?

haneulkim

Scaling should be after the split. Right?

jorgecampuzano

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