Join this channel membership to get access to materials: ruclips.net/channel/UCNU_lfiiWBdtULKOw6X0Digjoin check out the complete end to end project playlist ruclips.net/p/PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG
This series is amazing. Your passion for teaching and your dedication to your students is obvious in everything you do. I feel so truly lucky to come across your class.
@Ritesh Singh, well done man for wonderful hyper parameter tuning.... @Krish Naik the whole end to end ml-project credit to you sir. Keep doing the good deeds. May GOD bless you!
Even with hyperparameter optimization, LinearRegression still won out. The 'reading_score' and 'writing_score' features are highly correlated with the 'math_score' target.
Shouldn't we use .set_params(**best_params) so that the hypertuned parameters are supplied to the model object ?? Something like : bets_model = models[best_model_name].set_params(**best_params) where best_params is the dictionary of the hypertuned parameters.
Hello sir I have enrolled in the full stack data science course from pw skills. I just got fresher role for Business Intelligence Analyst in one of the Internet companies in my country. But they want me to work as python developer also but I am not so much interested in developing. Also I will be continuing in data science. So in this case my question is that how much knowledge of python is necessary for data science? Beside Business Intelligence Analyst, do I need to work as python developer too? What do you suggest me on this case?
Hi sir, I have been following the playlist and it's been a very good learning so far, here after the hyper parameters are defined, my code is terminating in the utils loop after 3 iterations and not able to get the r2score, pls help me out Anyone facing the same issue pls help !!!
Hey,Krish I don't think the Hyperparameter tuning worked here.Since same accuracy was bagged as in the prior video.Maybe due to fit being done on the model rather than on gs itself.
Hi All , I'm facing this error "ValueError: Found unknown categories [None] in column 1 during transform" . I change the ("one_hot_encoder",OneHotEncoder(handle_unknown = 'ignore')) in data_transformation.py" file but still facing the same issue can you plz anyone one help me to resolve tis
I think there is a problem with this approach. The best model is selected and stored but the best hyperparameters are not preserved for that model. Can anybody clear this for me?
src.exception.CustomException: Error occured in python script name [G:\mlprojdeploy\src\pipeline\predict_pipeline.py] line number [16] error message[Error occured in python script name [G:\mlprojdeploy\src\utils.py] line number [57] error message[[Errno 2] No such file or directory: 'artifacts\\preprocessor.pkl']]
Join this channel membership to get access to materials:
ruclips.net/channel/UCNU_lfiiWBdtULKOw6X0Digjoin
check out the complete end to end project playlist
ruclips.net/p/PLZoTAELRMXVPS-dOaVbAux22vzqdgoGhG
Thanks for the shout out sir. I really appreciate it.
👏👏👏
good job Ritesh
Great Work !!
Great Work
👏👏👏👏
Great work @Ritesh Singh. And thanks @Krish Naik for your dedication.
This series is amazing. Your passion for teaching and your dedication to your students is obvious in everything you do. I feel so truly lucky to come across your class.
@Ritesh Singh, well done man for wonderful hyper parameter tuning.... @Krish Naik the whole end to end ml-project credit to you sir. Keep doing the good deeds. May GOD bless you!
👏👏👏👏👏 amazing Ritesh
A big thum's up for Rithesh and off course, I am loving the playlist
Hey Krish,
Amazing content, keep up.
Can also please do a E2E DL project series focusing on computer vision, nlp use cases.
I am watching all 6 videos and now today I am start this series to empliment
great work @riteshSingh bro!!
thanks alot! Very good explaining.
amazing excellent
Great!
Thank You Soo Much Sir 👏👏
A big shout out to Ritesh Singh, good job!
Even with hyperparameter optimization, LinearRegression still won out. The 'reading_score' and 'writing_score' features are highly correlated with the 'math_score' target.
V good series
thanks
Shouldn't we use .set_params(**best_params) so that the hypertuned parameters are supplied to the model object ?? Something like :
bets_model = models[best_model_name].set_params(**best_params)
where best_params is the dictionary of the hypertuned parameters.
Thanks a lot
Really interesting. Thanks. Is Gridsearch over Pipeline(estimator) the best way to avoid train validate leakage?
How about you create another validation set? That is a better option to avoid leakage.
Hello sir I have enrolled in the full stack data science course from pw skills.
I just got fresher role for Business Intelligence Analyst in one of the Internet companies in my country.
But they want me to work as python developer also but I am not so much interested in developing.
Also I will be continuing in data science.
So in this case my question is that how much knowledge of python is necessary for data science?
Beside Business Intelligence Analyst, do I need to work as python developer too?
What do you suggest me on this case?
Hi sir, I have been following the playlist and it's been a very good learning so far, here after the hyper parameters are defined, my code is terminating in the utils loop after 3 iterations and not able to get the r2score, pls help me out
Anyone facing the same issue pls help !!!
did anyone get custom exception error,when they click on predict
Hey,Krish I don't think the Hyperparameter tuning worked here.Since same accuracy was bagged as in the prior video.Maybe due to fit being done on the model rather than on gs itself.
It works fine, if you try with better hyperparameters problem will be solved.
Hi All , I'm facing this error "ValueError: Found unknown categories [None] in column 1 during transform" . I change the ("one_hot_encoder",OneHotEncoder(handle_unknown = 'ignore')) in data_transformation.py" file but still facing the same issue can you plz anyone one help me to resolve tis
Sir I got an error y should be a 1d array, got an array of shape (800, 19) instead.
+1
I think there is a problem with this approach. The best model is selected and stored but the best hyperparameters are not preserved for that model. Can anybody clear this for me?
good point. didn't thought of it. hopefully, this was solved in the next videos :/
🙏💯
I am getting key error with same code. anyone here can help?
src.exception.CustomException: Error occured in python script name [G:\mlprojdeploy\src\pipeline\predict_pipeline.py] line number [16] error message[Error occured in python script name [G:\mlprojdeploy\src\utils.py] line number [57] error message[[Errno 2] No such file or directory: 'artifacts\\preprocessor.pkl']]
tutorial 8 video ??????????????????
All the scores ( reading,writing,math) are highly corrrelated. This is a multicolinearity problem.!
Hii sir I am stuck in 1 video can I connect ineuron team for solution I am from may bach full stack data science 2.0