Hyper-parameter Tuning using GridSearchCV | Decision Trees Part 8

[@nikitsinghparihar1982]

If i am getting job in data science domain that will be because of this man.....hats off to your efforts Nitish

[@not_amanullah]

me too

[@flakky626]

there's no 'IF' when you are studying from nitish sir
Youre definitely gonna make it

[@MrRupanshuk102]

Did you make in?

[@youcanyouwill2004]

@@MrRupanshuk102

[@anuradhabalasubramanian9845]

Lovely and simplified explanation Sir ! Thanks a million

[@psk9301]

thank you , bahut knowledge mila apke video se

[@binarystar4947]

I never understood the gridsearchCV so well✨♥️

[@PJ-oz2pg]

Thanks a lot bro. Very detailed and very informative.

[@sohan137]

Thank you so much. Very articulate

[@saeedkhan246]

awesome video, please make more videos for hyperparameter tuning of other algorithms

[@ManojMaddineniBCS]

Really well explained. Keep the good work going 🤗🤗

[@rishitaakash4449]

Thanks a lot this video was very helpful, do make such video on k-fold cross validation also

[@sandipansarkar9211]

finished watching

[@koolkravi]

Which tech stack you have used to create thus tool, speacially displaying graphs ans decision tree ?

[@junaidiqbal5018]

Amazing work explaining concepts.
i tried to search for the course on your website. I don't know if it's broken or you have some other link. please share the course link ... Tx !! again great job explaining this concept !!

[@arpittrivedi6636]

sir in general decision tree main scaling nahi karte hai na phir aapne ismain standard scaling kyun kar hai.

[@SuperMrAlucard]

god explaination

[@akhandshahi3337]

The best accuracy I got for the diabetes problem is 0.753

[@manjunathroyal2133]

Helpful video thank you so much. But language little problem. Please try to do it in English.

[@aditimutha10]

I tried executing the code but it says: name 'clf' is not defined
Can you help me with that???

[@ElinedeJager]

how if everybody so enthousiastic, i dont understand at all.... can you make videos fully in English?

[@bhargav7476]

Decision tree classifier does not require data to be normalized right?

[@campusx-official]

No! Not really

[@maxm04a]

dont understand half of what you are saying, are you switching between english and another language?

[@campusx-official]

Yes, sorry it's hindi actually. Will change the video title. Sorry for your inconvenience

[@nileshkpal7632]

Explain aacha kiye ho Bhai pr sare parameters ko explain karo na .......isse pata chalega problem ke hisaab se konsa parameter use krna hai..

[@campusx-official]

Feedback taken

[@shanning5011]

iloc[:,-1] mean? why -1?

[@HrisavBhowmick]

-1 means taking the last column

[@muskangupta4689]

-1 means the last column. It's a negative indexing

[@sandipansarkar9211]

finished coding