Data Science and Machine Learning with Python and R - Cross Validation using sklearn and python | Machine Learning

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What you'll learn

This course includes

14 hours of video
Certificate of completion
Access on mobile and TV

Summary

Keywords

cross validation explained cross validation python cross validation machine learning k fold cross validation python code k fold cross validation r k fold cross validation algorithm sklearn k fold cross validation example stratified k-fold cross-validation

Full Transcript

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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