Hindi Machine Learning Tutorial 13 - K Fold Cross Validation

Many times we get in a dilemma of which machine learning model should we use for a given problem. KFold cross validation allows us to evaluate performance of a model by creating K folds of given dataset. This is better then traditional train_test_split. In this tutorial we will cover basics of cross validation and kfold. We will also look into cross_val_score function of sklearn library which provides convenient way to run cross validation on a model
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Code: github.com/codebasics/py/blob...
Exercise: Exercise description is avialable in above notebook towards the end
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[@codebasicsHindi]

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[@renumathematics5219]

hello sir, I want to contact with you. please provide your contact number or mail address

[@rockfighter9974]

Thank you so much for this premium video

[@ShravanKumar-bv7kd]

big thanks to you sir from all the non cs students who want to switch their career into data science....its really helpful for us
मार्गदर्शन करते रहो गुरूजी 🙏

[@hhamzazaibbhatti1765]

best video lecture

[@rohitprakashsahoo4004]

This is best video I understand how library work in stratified KFold.

[@codebasicsHindi]

Rohit, sukriya for your kind words of appreciation.

[@asadahmedkhan8089]

Brilliantly Explained

[@osamaehsan4926]

Wow, such a great explanation. Really loved your approach!

[@codebasicsHindi]

Glad you enjoyed it!

[@priyalbhardwaj696]

Superrrrrrrr se bhi uparrrrrrrr☺️😂😂

[@rb4754]

Nice video... very well explained...🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰🥰

[@prathameshshete2716]

best teacher ever

[@parveez90]

Hello Sir, for new unseen data, then which model will be used out of the 3 (in case of 3 fold cross validation) to predict this data?

[@AbdulRehman-fm1zh]

Great explanation.

[@PrinceKumar-eb8hd]

as usual best video

[@jonyghosh7594]

You are best bro ❤💖💕

[@RaheelRupani]

After a Long a Time I Saw a Good Easy to understand Machine Learning Training. Well done.
Can You provide all Training code in R Language(IF Possible)

[@priyankurahang9057]

Sir, kya hum kfold cross validation use kar k LSTM, ARIMA, MLP ka accuracy nikal sakte hai??

[@zeeshanmohammad6296]

awesome. thank you very much!

[@codebasicsHindi]

Glad it helped!

[@viraj7932]

thankyou so much sir jii..

[@akshatsingh6036]

sir i didn't get that why svc score is so less i mean svc is mostly used for digits classification as u told in svm lecture?

[@technopathkeshav7835]

thank you sir , very nicely explained .

[@codebasicsHindi]

You are most welcome

[@shalendrakumar5546]

मुझे यह वीडियो भाई सबसे ज्यादा पसंद आया.

[@codebasicsHindi]

Dhanyavad shalendra 😊👍

[@kshitijrampurkar291]

great explanation sir .

[@codebasicsHindi]

Keep watching

[@MuskanMadaan]

Sir why we didn't change this dataset into Dataframe first??
we were doing that in case of iris data set

[@BeautyQueenANA]

Sir tell me plz. If we set 150 cross validation then what will be happen

[@devanshgoel3433]

thank you sir

[@ukanivikas2694]

Nicely explained,
Very beautiful information ❤️ it.

[@ukanivikas2694]

Please make some more videos 😉

[@codebasicsHindi]

Glad you liked it

[@shwetaredkar734]

The best video!!

[@codebasicsHindi]

I am happy this was helpful to you.

[@VishalMalik2023]

this parameter give me better result = cross_val_score(SVC(gamma=7),x,y,cv=3),
and score is = array([1. , 0.96, 0.96])

[@shivanshsingh5555]

i didnt understand the splitting into 3 means in that example....print to uska index number ho raha hai

[@mohammedmudassir123]

I was trying this with a another dataset ('titanic')
And I was not Abel to access the input data inputdata[train_index]
At the time stamp 14:15
Can u please help
I got the solution
inputdata.iloc[train_index]

[@mazharbukhari786]

Sir, before cross validation, score was 96 and 97, after validation, score becomes decreased. Isn't it?

[@shalendrakumar5546]

mast video hai bhai.

[@codebasicsHindi]

Shalendra, I am happy this was helpful to you

[@arshad1781]

Thanks again sir

[@codebasicsHindi]

Keep watching

[@prathameshgharat5313]

I perform train test split and give 30% data to test then apply model every model score give me 1.

[@vikashdas1852]

Brilliant !!

[@codebasicsHindi]

Glad it was helpful!

[@vishalsiram1305]

thank you sir i learn lot's of things from you, sir please make one project of ML in Hindi like real estate , hindi mai acha response aayega.

[@codebasicsHindi]

I am happy this was helpful to you.

[@Pallab-eq1zs]

Logistic regression gives highest score if i dont apply fine tune in other two models. If svm , get gamma=0.7 then score is 98%. Anyone please tell me which is the correct answer

[@crazyboy-gw7rk]

Kfold is asking yor y object??

[@ankushbanik1764]

Sir great understanding ... Come with a deployment series

[@codebasicsHindi]

Ankush, sure o have noted down that topic

[@zeeshanmohammad6296]

array([0.96078431, 0.92156863, 0.95833333])
on iris with 3 folds (default)

[@tarundhiman1140]

Bcha bahut bdiya lga

[@pythonbyayush9481]

@codebasicsHindi best model ac to me is SVC

[@yashkumarshukla3565]

Logistic regression has the highest score using cross_val_score() 97.33

[@codebasicsHindi]

That’s the way to go Yash, good job working on that exercise

[@UsmanAli-xj2jt]

The word "Thanks" is a very small word for you. Just pray for you that May Almighty Allah increases your knowledge.

[@codebasicsHindi]

I am happy this was helpful to you.

[@matinpathan5186]

Hi Sir Tumhi Maharastrain ahe ka great u said barobar .... Great sir Tumhi Marathi medha start kara la pahija hindi pan chalel kai harkat nahi

[@codebasicsHindi]

M Patha, Mai gujarati hun lekin me samaj sakta hu tum kya bol rahe ho. Hindi me hi video banate rahunga jisse sabje jyada logo ke paas mera content jaa sake

[@matinpathan5186]

@@codebasicsHindi Sir aapki bohat hi best videos upload karra ho mai apko hi follow karra hu .. sir mera 1 question hai fir new new technologies arahi hai to jo hum sikh rahe hai wo to old hojayengi na ab aur ya carrier ki demand bhi kam hojayengi... please aapka kya opinion hai...

[@JatinSharma-tu2zg]

Sir jab sklearn.model_selection import kfold karte hain to wanha error aa raha hai no module named ‘ sklearn.model_selection

[@codebasicsHindi]

stackoverflow.com/questions/40704484/importerror-no-module-named-model-selection

[@adityapujari6221]

bhai sabh ekk video me dalo for machine learning aur publish karo

[@HarryPotter-tp2sl]

LR GOT (97) but svc GOT (100) RF got (94)
so i think svm got higher score in iris dataset

[@hiraltalsaniya4934]

how YOLO can train with k fold cross validation??

[@codebasicsHindi]

On UA-cam search for "codebasics YOLO ", you will find my videos please watch it

[@shubhamsrivastav8527]

R u gujrati?? Nice video