This blog talks about handling imbalance in data for classification using different sampling methods.
Step by step explanation of CART decision tree classification using Titanic dataset.
Step by step explanation of CHAID decision trees using the Titanic data set
Linear programming in R along with sensitivity analysis and cool visualizations.
A complete analytical journey of linear regression. From EDA, model building, model diagnostics, residual plots, outlier treatment, co-linearity effects, transformation of variables, model re-building and validation for Boston housing price prediction problem.