Learn Machine Learning | Model Selection - k-Fold Cross Validation in R Language

Implement k-Fold Cross-Validation in R with 'caret' library, which optimizes the way to evaluate the model by fixing the variance problem for the training.

Model Selection Folder in Google Drive:
https://drive.google.com/drive/folder...

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GET ALL THE CODES AND DATASETS HERE: https://drive.google.com/drive/folder...

GET ALL THE CODES AND DATASETS .ZIP HERE: https://drive.google.com/file/d/1tbPD...

What you'll learn :
Master Machine Learning on Python & R
Have a great intuition of many Machine Learning models
Make accurate predictions
Make powerful analysis
Make robust Machine Learning models
Create strong added value to your business
Use Machine Learning for personal purpose
Handle specific topics like Reinforcement Learning, NLP and Deep Learning
Handle advanced techniques like Dimensionality Reduction
Know which Machine Learning model to choose for each type of problem
Build an army of powerful Machine Learning models and know how to combine them to solve any problem

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