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This article is a solution to kaggle bike sharing demand prediction using Rstudio cover feature engineering and random forest modeling to improve performance.
This article introduces the science behind k-fold cross validation & its use in simple terms and explains its implementation in Python
Regularization is a way to avoid overfitting problems in Regression models. Article explains how to avoid overfitting, underfitting using regularization.
Caret package in R provides the tools for building predictive models in R. In this tutorial learn the basics of the Caret package using a dataset in R.
This article explains benefits of both the techniques regression and decision tree to create powerful predictive models.
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