Machine Learning in R
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Updated
Jun 11, 2024 - R
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
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
R wrapper for MLJAR API
Machine Learning Finite State Machine Models from Data with Genetic Algorithms
Exercises From Book "Applied Predictive Modeling" by "Kuhn and Johnson (2013)"
Portfolio of course work for my Master's in Data Science.
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.
NFL is one of the most followed game having millions of followers all around the world.The current work involves the prediction of NFL match results by using a custom model incorporating a deep neural network and ticket prices for the match using regression modelling. This work considers the most important factor in NFL, the momentum. The predic…
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