📦 BRoadly Useful Convenient and Efficient R functions that BRing Users Concise and Elegant R data analyses.

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Generates and evaluates D, I, A, Alias, E, T, G, and custom optimal designs. Supports generation and evaluation of mixture and split/split-split/N-split plot designs. Includes parametric and Monte Carlo power evaluation functions. Provides a framework to evaluate power using functions provided in other packages or written by the user.

By-hand code for models and algorithms. An update to the 'Miscellaneous-R-Code' repo.

Source code repository for the R package lfe on CRAN.

BAS R package for Bayesian Model Averaging and Variable Selection

🔮 Benchmarking and visualization toolkit for penalized Cox models

This repository contains R code for exercices and plots in the famous book.

Data Science courses in R from HarvardX

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

R and Data Files from my YouTube Channel

A series of articles to get started into the field of Machine Learning with R language

This project tries to replicate hedge funds returns.

📈 Useful notes and personal collections on statistics.

Statistical Modeling and Regression Analysis for Life Expentancy

snpnet - Efficient Lasso Solver for Large-scale genetic variant data

The project aims to perform various visualizations and provide various insights from the considered Indian automobile dataset by performing data analysis that utilizing machine learning algorithms in R programming language.

📊 Generalized linear regression models with network-regularization in R.

This Repository Contains R-Codes executed on various Datasets in RStudio. I Hope This Repository is very helpful for those who are Willing to build their Career in Data Science, Big Data.