Making Cross Validation Simple|What,why and types of Cross validation

Making Cross Validation Simple|What,why and types of Cross validation

#CrossValidation #KFoldCrossValidationTechniques #UnfoldDataScience

Hello All,
My name is Aman and I am a data scientist.

About this video:
In this video, I explain the concept of cross validation in detail. This video is intended for students who want to understand how cross validation work and
what are the main cross validation techniques. I also explain how cross validation can be performed in Python. Below topics are specifically answered in this video:

1. Cross Validation - what and why?
2 Leave one out cross validation - LOOCV
3 K-FOLD Cross validation
4. Stratified K Fold cross validation techniques
5. Cross validation in python

Links to undertand python implementation of cross validation techniques

About Unfold Data science: This channel is to help people understand basics of data science through simple examples in easy way. Anybody without having prior knowledge of computer programming or statistics or machine learning and artificial intelligence can get an understanding of data science at high level through this channel. The videos uploaded will not be very technical in nature and hence it can be easily grasped by viewers from different background as well.

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[MrCEO-jwvm]

great, thanks so much for this effective explanation toCv

[purushottammitra]

I have got only two words for You Bro!!! :" Really Awesome🤩"

[hr]

The CrossVal video I needed. Thanks a lot.

[arpittrivedi]

wow. nice explanation. you are a great teacher.

[HimanshuYadav-yjto]

wow...Brilliant explanation... Thanks for such good content...

[savitak]

Your videos are helping us really well🤗..

[bijaykhanal]

hello sir in kfold cross validation then if there is high k value then the variance will be low and bias will be high?

[arjunp]

I think in the time series data, one should divide the dataset by day of the week. For eg, we can train on time series data on Mon-Thursday leaving Friday for testing. Similarly, Thursday for testing and the remaining for training and so on...

[shahzebahmed]

And the way u explain is really really good... Have learnt a lot from u and looking forward to learn more !!!

[josephmart]

Quick suggestion

Please can you make a Hyperparameter Tuning series of all the Classification Algorithms, Linear Regression, K-Mean and for all Boosting techniques

[syedahmedali]

please make a video on the single training set and single testing set

[syedahmedali]

please make a video on bias-variance tradeoff in this setting

[pragatilabhshetwar]

Also please provide the video on cost functions... when and why should we use it?

[aniruddhkarekar]

Can stratified cv be helpful in time series data ?

[sivakumarprasadchebiyyam]

Hi its a very good video. Could you plz let me know if cross validation is done on train data or total data?

[ajaykushwaha-jemw]

Hi Aman, we have cross validation then why we use K fold cross validation. What are the major difference between them.

[shanmukhchandrayama]

put some threshold and divide into test and train data.

[shahzebahmed]

Hello Sir. I think in any clarification problem if we have balanced data for target variable then k fold will be best !!! Plz do reply ur view in this !!!

[ishantguleria]

my cross validation score is coming negative what that does mean

[YashpalNSharma]

As per my understanding, similar to LOOCV (without random_state) - also called Rolling Window CV can be used for smaller or medium sized Time Series datasets.
Please confirm if this understanding is correct.