Cross Validation using sklearn and python | Machine Learning
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Cross-validation is a resampling procedure used to evaluate machine learning models on a limited data sample.
The procedure has a single parameter called k that refers to the number of groups that a given data sample is to be split into.
Github: https://github.com/krishnaik06/model_selections/blob/master/ModelBoost.ipynb
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super sir
@Krish Naik how do you write on the screen.which tool to use?
Thanks for these great explanations , I can no find the Purchased_Dataset.csv would like please update your Github repository. Thanks
Thankyou.
Sir me cs ka student nhi hu to me data science Sikh sakta hu I am graduate in b.a plz reply
Sir please make video on Data Science project … As fresher or start career in data scientist what kind of project to do
What is the difference between accuracy_score and cross_val_score?