bookbestseller Posted May 16 Report Share Posted May 16 Statistics with R for Machine Learning: Volume 2 Advanced Resampling Techniques with R for Machine Learningby Mohsen NadyEnglish | 2025 | ISBN: 1779564716 | 188 pages | True PDF | 9.68 MBResampling techniques are key to improving model performance and reliability in machine learning. This volume explores advanced resampling methods, including cross-validation, bootstrapping, and hyperparameter tuning, using R. Readers will learn how to apply these techniques to optimize model accuracy and prevent overfitting. Practical examples and case studies illustrate their real-world applications. This voulme is an essential resource for data scientists and machine learning enthusiasts aiming to master resampling strategies.[b]AusFile[/b]https://ausfile.com/s6mr56fcdonj/6cyuz.7z.htmlRapidGatorhttps://rg.to/file/2c3cb5771cf1613320b3230c94500318/6cyuz.7z.htmlTakeFilehttps://takefile.link/jpmsl6pfjtl8/6cyuz.7z.htmlFileaxahttps://fileaxa.com/ubiz1w9o7z83/6cyuz.7zFikperhttps://fikper.com/CWtCy4YNoO/6cyuz.7z.html Link to comment Share on other sites More sharing options...
Recommended Posts
Please sign in to comment
You will be able to leave a comment after signing in
Sign In Now