What is Cross Validation and its types?

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4 жыл бұрын

In this video we will be discussing about what is cross validation and what are its different types
1. Leave P out cross validation
2. K fold Cross Validation
3. Stratified K fold Cross Validation
4. Time Series Cross Validation
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Пікірлер: 172

@jammy2003 4 жыл бұрын

Hrithik Roshan who? You're the real Krish! Thanks so much man, saved my ass as I'm reviewing and revising for finals now. God bless and you've earned yourself a subscriber.

@hanman5195 4 жыл бұрын

i did not find proper online stuff on Data science till you come . Now you came i am amazed at watching and learning data science stuff from you. You are my real Guru ,awesome Sir.

@sshiv908 4 жыл бұрын

just when I started thinking engineering is so difficult, I found you. thanks for such good explaination

@sebastianno8 3 жыл бұрын

Great job, finally I understand what is the purpose of cross validation. I appreciate especially the part when you explained how to communicate cross validation to the stake holders. Thanks again

@samixwasup8561 Жыл бұрын

this is very close to my university course here in Canada, in fact, you have approached it in a simpler way, which is great

@MsRAJDIP 4 жыл бұрын

So Detailed explanation as always

@aadishjain6838 4 жыл бұрын

easily the best data science channel out there! thank you

@saikrishnapadarthi987 4 жыл бұрын

I've been watching your videos on ML. These are simply brilliant. Your explanation is awesome. Could you please provide cards at the right top when you are referring to your other videos. it helps us more. Thanks for your efforts brother...

@surajkhanna1129 3 жыл бұрын

Binge watching your awesome machine learning playlist!

@ameerhussain5405 4 жыл бұрын

First time watching your tutorial Quality content, clear and crisp Subscribed👍 Keep making more!!

@bhushanchaudhari378 4 жыл бұрын

Excellent videos sir.. thanks alot

@waywaller2630 3 жыл бұрын

Krish! This video simplifies the concept cross validation brilliantly. Good stuff Homie!

@harikrishna-harrypth 3 жыл бұрын

Krish Naik, you're a G!!!! Thanks for taking your valuable time to make these videos for us!

@blablawtf 3 жыл бұрын

You explained it SO well, thank you so much!

@ujjwalsingh888 2 жыл бұрын

Sessional tomorrow. Couldn't be explained better. Thank you, sir.

@Moneylisey 4 жыл бұрын

very well explained, thank you very much!

@yuvachandra330 2 жыл бұрын

Crisp and Clear. thank you Krish.

@sachinahankari 4 жыл бұрын

Simple and lucid English with examples makes it easy to understand.. don't worry about comments, be cool as you seems to be and do your job of giving knowledge..

@hejarshahabi114 3 жыл бұрын

Krish you're amazing, to be honest, I have learnt many things regarding data science from your channel keep going, you are doing awesome.

@huangkevin5183 Жыл бұрын

Thank you Krish. Have been watching your videos for my uni project. Really helpful contents and clear explanations!

@rishabhnegi9530 3 жыл бұрын

thanks it really removes my headache of understanding that split stuff of k-fold

@sahilsahil-qz2oo 4 жыл бұрын

Great job Sir, Thank you very much ♣

@anandacharya9919 4 жыл бұрын

You are doing great service to students, hats off to you. Can you please mention the order of DS project. Thank you

@MysticAngel3224 4 жыл бұрын

Thank you so much for a clear explanation of this concept

@ashwaniagarwal6828 4 жыл бұрын

Crystal clear explanation !!!

@MK-yl7jl 4 жыл бұрын

Awesome Explanation Man. Thank you

@Faylasuf57 2 жыл бұрын

Great video.

@samithmadusanka7573 4 жыл бұрын

Nice explanation. Thank you so much. Good luck

@mahnabraja1086 4 жыл бұрын

very nice informative videos

@rashmimbendakaluru7225 2 жыл бұрын

superb sir, hats off for your simplified explanation with comparison too. very helpful sir, looking forward for videos on other validation methods, thank you once again

@jasminejubbal5732 Жыл бұрын

Great videos Krish thank you so much for sharing

@ruzanb433 Жыл бұрын

You are Exceptionally good, the clarity about the concept is on point ! Dam

@aditisrivastava7079 4 жыл бұрын

Amazing explaination..........Thanks

@kadhirn4792 4 жыл бұрын

Thanks a ton. You will reap good.

@bhushandeotale3625 2 жыл бұрын

Best explanation got cleared at first instance

@cha5848 Жыл бұрын

I have my deep learning exam in few days ur lectures are really helpful for revision

@ig2947 4 жыл бұрын

Brilliant..!

@aravindvasudev7921 Жыл бұрын

This video was very helpful. Thank You!

@ashinkajay 2 жыл бұрын

Thank you so much.. God bless you too !

@gangaholi8600 2 жыл бұрын

Very nice presentation and very much informative.

@sandipansarkar9211 3 жыл бұрын

Thanks Krish .Great Explanation

@chetanapatil8808 2 жыл бұрын

Best Explaination ever!! Thank you Sir

@SugamMaheshwari 4 жыл бұрын

Superb 👌 thank you very much sir !

@radhakrishna.kalluri7192 2 жыл бұрын

Good job Mr. Krishna

@sonnix31 Жыл бұрын

You are the best. Thank you.

@kurtissac 3 жыл бұрын

Thank you very much Krish

@varunmajithia2470 3 жыл бұрын

Superb!!!!!!!!!! . Simply Excellent And Very Well Explained.

@rambaldotra2221 3 жыл бұрын

Amazing Thanks a lot Sir

@ayushrajput9988 3 жыл бұрын

Thank you soo much sir for this video clears my concepts

@K-mk6pc 2 жыл бұрын

Thank you sir this video was very much helpful.

@osamaakhtar6525 4 жыл бұрын

subscribed! keep up the good work

@baharylmaz9366 Жыл бұрын

This video is amazing thanx

@shubhangiwaghmare7947 3 жыл бұрын

very well explained.. thank you

@rohitmalhotra2383 4 жыл бұрын

Hi Krish..your videos are awesome..the kind of passion and enthusiasm you have for data science and also for empowering others with same knowledge is exemplary. I am trying to learn data science/ML to employ them in Industrial Systems. Pls help me what approach should i follow. Share sources where i can learn to employ them in Industrial systems.

@MuhammadUmair-or3or Жыл бұрын

no github link?

@seriouscoder1727 2 жыл бұрын

Krish you r awsome teacher

@prodyutdas1474 3 жыл бұрын

Thank you so much for this nice explanation.

@thatguyadarsh 3 жыл бұрын

God Bless You Too.. Thanks!

@TJ-wo1xt 2 жыл бұрын

gr8 video

@simranuppal7171 3 жыл бұрын

Hi, thank you for the video. I was thinking that the fourth method is very close to moving averages. Could we also have done a 5 day moving average for prediction or as an alternate?

@mukulmishra2296 4 жыл бұрын

please do make a video on different types of encoding teachniqe

@saivikas569 4 жыл бұрын

detailed explantion about CV

@annperera6352 3 жыл бұрын

Thank you so much sir.

@kousiksekar1894 4 жыл бұрын

Awesome

@claudiusandika5366 4 жыл бұрын

Much respect to you, Sir.. for sharing this detailed knowledge for free. May God Bless you always

@abhinavprasad5743 4 жыл бұрын

hello sir!! Can you please upload the practical example on above mentioned different types of cross-validation...specially on stratified cv

@tanishsharma5440 Жыл бұрын

Thankyou so much

@benoitmialet9842 2 жыл бұрын

Thank you.

@tearistovic Жыл бұрын

Thank youuu !!!! ❤

@shyamchaurasiya1069 4 жыл бұрын

Thanks!

@MJXed Жыл бұрын

700k subscribers with a board, sir, you are a legend! ❤

@williamwambua7710 2 жыл бұрын

Hello sir, You inspire me a lot in the data science and ML journey. Plz can i kindly correct something that I have noted in the vid. I believe we cannot calculate the number of K as you have done it bcoz we mostly just choose a suitable number. If am wrong plz bring me back on track. I believe what you were trying to check is the portion size of each partition in a fold, that can be calculated using the size of the train_test split which i bliv in the example you used is 80%20% therefore using the 1000 records ->1000 of 20% =200 in each partition of a fold then the K we choose it to our preference. Plz bring me back on track if am wrong.

@21471adnan 4 жыл бұрын

Really nice video..How to decide which CV to apply ( K told or stratified ) ?

@hassanabdullahi2203 3 жыл бұрын

How comes i didnt subscribe for krish,,Oh man,You got my respect.Thumps up to you

@ankushjamthikar239 3 жыл бұрын

Hi Krish, the video is very intuitive and clearly explained! Just wanted to know, do we need to perform cross-validation during hyperparamter tunning? Or should we do it two times, that is (i) duing hyper-paramter tuning and (ii) then after training the model with optimized paramters? In K-fold cross-validation, we have k models. Which one should we deploy? Thanks in Advanced!

@JKGMo1995 Жыл бұрын

you can use Nested cross validation and do both at the same time

@RinkiSingh-ph6oo 2 жыл бұрын

excellent explanation could u explain genialized linear modal pls👍

@sumbalkhan9902 4 жыл бұрын

thank you

@shahbazkhanlabengineermech3246 4 жыл бұрын

Greeting Krish thanks for a wonderful video just wanted to know after doing cross validation and find the CV accuracy do we need to test the model with the test data set or this CV accuracy is the final accuracy of the model and i dont need to the test the model on the test data. Thanks again.. Hope to hear from you soon Stay Safe

@sanika6916 7 ай бұрын

Thankyou

@pradeepc5207 4 жыл бұрын

If we do a 10-fold cross validation for an L1 regularised linear regression model, to tune the value of lambda how many out of sample estimates of model accuracy will one obtain?

@bit-colombo5595 3 жыл бұрын

Sir your videos are awesome, can you also do a video on dummification and prediction window size?

@debatradas1597 3 жыл бұрын

Thanks

@jayshreedonga2833 Жыл бұрын

thANKS SIR

@raghuramabl6729 4 жыл бұрын

super sir

@shafa-atali7816 4 жыл бұрын

thanks a lot for ur video. Can u kindly tell how to find accuracy of a CNN model using k fold cross validation.

@nitishreddy4888 Жыл бұрын

@060584saurav 3 жыл бұрын

Good Explanation however I have one doubt. The model is trained k times with different datasets so, the hyperparameters of the each model will be different. How to determine and see the best model and its associated hyperparameter. Thank You

@aakashsinghrawat3313 4 жыл бұрын

sir how to work with separate train and test? how to split them by combining or separately?

@9Marek5 4 жыл бұрын

can anyone explain me the properties (also including their accuracy) and differences of intra, internal and external cross validation?

@preetham4974 4 жыл бұрын

Awsome tutorial,Its been a while since i started to follow your videos and the results are pretty much good and easy to understand from base.I have a query regarding this video,At 14:00 what do you mean by both class ? and what do you mean when you said instances of classes thank you!

@viveksingh881 3 жыл бұрын

so at 14:00 sir was explaining cross validation with example of binary classification that means we have two class so our output will be either 1 or 0....this is what he meant by two class and he meant the same when he said instances of class.... hope u get my point.

@Funtoosh5395 8 ай бұрын

Please teach multivariate timeseries data for classification and clustering

@sunnysavita9071 4 жыл бұрын

sir please make video on Roc and Auc

@chiranjeevibelagur2275 Жыл бұрын

Hi Krish, nice explanation on CV. But can you show in the codes where i find this accuracy for any kind of CV method. Because I'm a little confused about that part. Or please suggest the video if you have already done that

@rampurpraneeth528 4 жыл бұрын

what if the X dataset contains null values ? we are splitting the dataset into train and test data ,then filling the missing values right ? how could we perform cv on X dataset with missing values ?

@trend_dindia6714 3 жыл бұрын

When we apply hyper parameters tuning do it apply on k fold or stratified cv

@lavanyasagunthala3801 4 жыл бұрын

Its good sir. But why can't we use random sampling without replacement here.

@ge_song5 Жыл бұрын

I am using k-fold cross-validation to train my ml model, where k=4, I understand that 4 models are trained with different subsets of input data. So out of the 4 models, which one is my final artifact? Did I misunderstand CV in general?

@achalvats9223 4 жыл бұрын

Can we do a test train split and then use k flod cv on training data so in the end we have some new unused data to test the model which we have built, yeah i get it some data will remain unutilized but still be can test it with fresh data, maybe we can keep on 10% data in testing set???

@rutdvajrawal7933 2 жыл бұрын

Thanks a lot krish. Do you have a community or a telegram channel

@PiyushYadav-ee1ri 4 жыл бұрын

please provide a link or video on timeseries cross validation

@vinayakap9474 3 жыл бұрын

I have implemented 6 supervised Ml aglo(decision tree, naive bayesian, SVM, Random forest, KNN, Logistic regression, next i have to find among these algorithms which algorithm gives best result considering various scenarios, this analysis should be shown through graph how can i do it? please help me out with this