Improve Your Model Performance using Cross Validation (in Python and R)
Learn various methods of cross validation including k fold to improve the model performance by high prediction accuracy and reduced variance
overfitting
A comprehensive beginners guide for Linear, Ridge and Lasso Regression in Python and R
Introduction I was talking to one of my friends who happen to be an operations manager at one of the Supermarket chains in India. …
A Complete Tutorial on Tree Based Modeling from Scratch (in R & Python)
Overview Explanation of tree based modeling from scratch in R and python Learn machine learning concepts like decision trees, random forest, boosting, bagging, ensemble …
A Complete Tutorial to learn Data Science in R from Scratch
Overview Free tutorial to learn Data Science in R for beginners Covers predictive modeling, data manipulation, data exploration, and machine learning algorithms in R …
A Complete Tutorial on Ridge and Lasso Regression in Python
Overview Ridge and Lasso Regression are types of Regularization techniques Regularization techniques are used to deal with overfitting and when the dataset is large …
