missCompare R package - intuitive missing data imputation framework

An R package to apply affine and similarity transformations on vector layers (sp objects)

Leave-one-out Cross-validation for regression models

Forecasting time series data using ARIMA models. Used covariance matrix to find dependencies between stocks.

This is a group project for MTH416A: Regression Analysis at IIT Kanpur

Applied Least Square, Ridge and Lasso regression models to predict the number of comments a blog post will receive

Predictive machine learning model guessing the admissions percentage at a university given directory and financial aid information. Part of the capstone for HarvardX's Data Science certification.

Supervised Machine Learning algorithms for Regression in R and Python

To explore supervised machine learning

The aim of this project is to develop a machine learning model to predict the levels of CO in the air using historical datasets containing atmospheric variables. The project makes use of variables selection, decision trees, and cross-validation techniques to ensure robustness and model accuracy.

HarvardX: PH125.9x: Data Science - Capstone Movielens Project