Machine Learning in R

Analytics & Machine Learning R Sidekick

Developer Version of the R package CAST: Caret Applications for Spatio-Temporal models

Exploratory, Inferential and Predictive data analysis. Feel free to show your ❤️ by giving a star ⭐

MachineShop: R package of models and tools for machine learning

BAS R package for Bayesian Model Averaging and Variable Selection

Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

A Minimalistic Framework for Creating, Managing and Training Multiple Caret Models

Univariate and multivariate time series forecasting, with uncertainty quantification (Python & R)

Concept Drift and Concept Shift Detection for Predictive Models

Statistical Modeling and Regression Analysis for Life Expentancy

R wrapper for MLJAR API

Machine Learning Finite State Machine Models from Data with Genetic Algorithms

Portfolio of course work for my Master's in Data Science.

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

A set of projects I worked on as part of my PG Diploma in Data Science Program

Predicting chemosensitivity using gene expression

ClaRe Dashboard: a Web-based Tool for Modeling Multivariate Time Series with Mixed Sampling Rates

Classify messages as Spam or Ham using a simple Naive bayes classifier. After training the Model , next deployment of a web app build on shiny to filter text messages.