Trivia question from the video: What will happen if we try to increase the value of degree to 3,4 and 5 ?
@kasifnasim73444 жыл бұрын
Increase in degree will lead to over-fitting the model. Resulting to low bias and high variance.
@venkatramnaidu75553 жыл бұрын
@@kasifnasim7344 what is the disadvantages of over fitting
@venkatramnaidu75553 жыл бұрын
over fitting means with 98% accuracy right how come it will be a problem
@iridescent92042 ай бұрын
@@venkatramnaidu7555 I'm replying after 3 years but I think you have your answer already. It's accurate for the train data only. For unseen data, that is test data, it may not be that accurate. Hence, low bias (very good prediction for train data) and high variance (possibility of bad predictions on test data).
@John-vm2zi3 жыл бұрын
Finally a concise and clear explanation of polynomial regression implementation. Great job.
@ankushghosh78353 жыл бұрын
wow, nice video.........clearing every doubts related to implementation of polynomial regression.
@TheAIUniversity3 жыл бұрын
Thanks!
@maskiinkaal9083 жыл бұрын
@@TheAIUniversity thanks eng but where I could get the dataset and code of this tutorial for only test purpose
@saurabhbirari95813 жыл бұрын
Explained the concept in such a great way. Hats off.
@namaste_canadaa4 жыл бұрын
After a lot of search, i found your video the most helpful one !
@TheAIUniversity4 жыл бұрын
Thanks Tarun. Glad you liked the content
@MrAnandml4 жыл бұрын
One of the best channel for ML, DL and AI ...you deserve more subs. ..
@TheAIUniversity4 жыл бұрын
Thanks Anand
@narayanareddychinnapureddy12664 жыл бұрын
How I missed AI university all these days???😥😥 just_amazing explanation and fabulous content #new_subscriber🙌
@enricofr70794 жыл бұрын
great video, for my friends who read this comment you guys came to the right place
@johnanih564 жыл бұрын
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
@JyotiSharma-zg1zg4 жыл бұрын
Good job
@nirajsathe92203 жыл бұрын
As we increase the degree of polynomial the condition of overfitting will occur due to overfitting condition accuracy of test data decreases.......
@saurabhbhardwaj25762 жыл бұрын
Sir, i have 3 input parameters based on these i have a output. How to solve regression in my case.
@vishnushidling48704 жыл бұрын
Thank you sir
@robertdinan84803 жыл бұрын
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?
@coreymroczkowski87374 жыл бұрын
When plotting the polynomial regression model, rather than just getting one blue line, I get many blue lines. Why is this?
@inteligenciamilgrau3 жыл бұрын
Me too!!
@inteligenciamilgrau3 жыл бұрын
Try to change the split line avoiding shuffle and stratify X_train, X_test, y_train, y_test = train_test_split(X,y,test_size=0.3,random_state=0,shuffle = False, stratify = None) Or, instead, try to predict with the X plt.plot(X,PolyReg.predict(polynom.fit_transform(X)), color='blue')
@omkumarjha27452 жыл бұрын
@@inteligenciamilgrau thanks bhai for solving my problem🙏
@akmathematicscomputinghub65354 жыл бұрын
Can I know from this program what is the exact equation of that regression line ??? Or I will get graph only ???
@falanshsiddh67534 жыл бұрын
How to know what degree to take in PolynomialRegression wrt to data? Why did you took degree 2?
@nniv19864 жыл бұрын
Same question sir ,how we select degree? Is there any method to choose it
@NotImmortal4 жыл бұрын
Is there a video with multiple features and multiple features are categorical?
@TheAIUniversity4 жыл бұрын
Yes, there is. Pls check out this video: kzbin.info/www/bejne/qIeoi6qfoaZ-ibc
@anandmohan96424 жыл бұрын
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.
@MegaPrem19894 жыл бұрын
How to identify the degree = 2 in PolynomialFeatures() just by seeing the data or predicting the data with LinearRegression model.?
@MegaPrem19894 жыл бұрын
i mean here how you decided to take the degree as 2 only. why not 3
@GrowthMindsetGlobal4 жыл бұрын
Really good. where do i get code
@CuriousCommunityYT4 жыл бұрын
Great
@kalyankrishna59023 жыл бұрын
Polynomial regression is possible for multiple linear regression ......
@pabitrakumarghorai76234 жыл бұрын
where is data set
@TheAIUniversity4 жыл бұрын
Here you go... github.com/nitinkaushik01/Data_Science_Bootcamp/tree/master/Regression_Algorithms/Polynomial_Regression