Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"

Core scripts for FluoroMatch, LipidMatch, and PolyMatch

Comparison of model selection methods for Boston dataset

Using advanced machine learning algorithms to predict Home Warranty Renewal success in R.

Solving classification problem by SVM model implementation; Linear transformation techniques application for dimensionality reduction

As part of a group project, I developed separate regression models using R to predict the daily number of batteries and robberies in Chicago using four different datasets. I tested interactive and second-order terms and used stepwise feature selection to find the best model with the given data. I tested several potential models using cross-valid…

Exploratory data analysis, missing value imputation and linear models on carnicoma data