Polynomial Regression Machine Learning Python Code

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About this video:
This video titled "Polynomial Regression Machine Learning Python Code" explains code related to polynomial regression Machine Learning model using Python's scikit learn package. It will first cover the steps to build the Simple Linear Regression Model and then the corresponding Polynomial Regression Model from scratch in order to compare the results from the accuracy perspective. It will also visualize both of the models using Scatterplot to showcase the best fit line/curve. Later on it will evaluate both of the models to show how Polynomial Regression is more accurate.

Subtitles available in: English

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Trivia question from the video: What will happen if we try to
increase the value of degree to 3, 4 and 5 ?

TheAIUniversity
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Finally a concise and clear explanation of polynomial regression implementation. Great job.

John-vmzi
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wow, nice every doubts related to implementation of polynomial regression.

ankushghosh
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Explained the concept in such a great way. Hats off.

saurabhbirari
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One of the best channel for ML, DL and AI ...you deserve more subs. ..

MrAnandml
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After a lot of search, i found your video the most helpful one !

namaste_canadaa
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great video, for my friends who read this comment you guys came to the right place

enricofr
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How I missed AI university all these days???😥😥 just_amazing explanation and fabulous content #new_subscriber🙌

narayanareddychinnapureddy
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Very informative. You did not evaluate the model by informing us if the model is prone to overfitting or underfitting. Or did you cover that in another video? That is very important. Thanks

johnanih
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As we increase the degree of polynomial the condition of overfitting will occur due to overfitting condition accuracy of test data

nirajsathe
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How to know what degree to take in PolynomialRegression wrt to data? Why did you took degree 2?

falanshsiddh
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Is there a video with multiple features and multiple features are categorical?

NotImmortal
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When plotting the polynomial regression model, rather than just getting one blue line, I get many blue lines. Why is this?

coreymroczkowski
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Sir, i have 3 input parameters based on these i have a output. How to solve regression in my case.

saurabhbhardwaj
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How to identify the degree = 2 in PolynomialFeatures() just by seeing the data or predicting the data with LinearRegression model.?

MegaPrem
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Great video, very well explained! I was hoping you would be able to help me with the following question. I would like to create an array from a number of predicted values i.e. inserting an array as the input variable where you predict the y-value from the x-value as 53. I am hoping that this can be declared as an array which will hold all of the predicted values. Is this possible?

robertdinan
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Hi, your video helps a lot. Can you help me with the polynomial regression model with multiple variables? Meaning instead of one independent variable we have two or more than two independent variables to find out one dependent variable.

anandmohan
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Can I know from this program what is the exact equation of that regression line ???
Or I will get graph only ???

akmathematicscomputinghub
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Polynomial regression is possible for multiple linear regression

kalyankrishna
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increasing the degree will lead to overfitting

tussevanamiguel