🇮🇳 Made in India
Discover India's Leading Open Source Projects: Explore top-notch open source initiatives hailing from the vibrant tech community of India.
TOP R Projects
TheAlgorithms/R
Collection of various algorithms implemented in R.
selva86/datasets
A collection of datasets of ML problem solving
dupadhyaya/Ranalytics18
My work on Analytics and Research in Data Science
AtherEnergy/ggTimeSeries
Time series visualisation
Tatvic/RGoogleAnalytics
R Library to easily extract data from the Google Analytics API into R
DUanalytics/rAnalytics
Analytics in R
dupadhyaya/rAnalyticsHHE
Repository for Online Classes
aagarw30/R-Shinyapp-Tutorial
rsquaredacademy/olsrr
Tools for developing OLS regression models
atlanhq/rLandsat
R Package to make Landsat8 data accessible
alexsanjoseph/compareDF
R Tool to compare two data.frames
r-rudra/tidycells
Automatic transformation of untidy spreadsheet-like data into tidy form
koundy/ggplot_theme_Publication
This repo consists of three themes for the ggplot2 and new colour palettes. Enjoy the new themes!
deepayan/lattice
Trellis Graphics for R
tvganesh/cricketr
This package can be used to analyze performances of cricketers based on stats from ESPN Cricinfo
rsquaredacademy/rfm
Tools for Customer Segmentation using RFM Analysis
atlanhq/flyio
Input Output Files in R from Cloud or Local
rsquaredacademy-education/online-courses
Free online R courses
DataStrategist/TileMaker
An R package that enables the creation of data tiles for inclusion in a html dashboard or some such.
Kumaava/BasicStatistics
University of Amsterdam
ashish-kamboj/Market-Mix-Modeling
Market Mix Modelling for an eCommerce firm to estimate the impact of various marketing levers on sales
rsquaredacademy/xplorerr
Shiny apps for interactive data analysis, visualization and modeling.
rsquaredacademy/inferr
Parametric and non-parametric statistical tests
rsquaredacademy/descriptr
Generate descriptive statistics
saketkc/rna-seq-snakemake
Snakemake based pipeline for RNA-Seq analysis
DataStrategist/ShinyTester
An R package to help debug Shiny apps during the process itself.
SridharCR/Diabetes_Prediction
This project aims to predict the type 2 diabetes, based on the dataset. It uses machine learning model,which is trained to predict the diabetes mellitus before it hits.
Mu-Sigma/analysis-pipelines
Enables data scientists to compose pipelines of analysis which consist of data manipulation, exploratory analysis & reporting, as well as modeling steps. Data scientists can use tools of their choice through an R interface, and compose interoperable pipelines between R, Spark, and Python.
vishalv91/Global-Trade-Analytics
The objective of the project was to create innovative and interactive Tableau dashboards that focus on potential commodities, countries, year, trade amount and quantity. The client wanted to launch a new business unit, focusing on global trade and logistics, majorly in the countries such as USA, Canada and Australia The dataset provided by the client contained 59090 observations of 10 variables. The client insisted the data to be cleaned using Excel or R. The Dataset contained missing values and was cleaned using the R programming language. Tableau dashboards were created from the cleaned dataset.
MainakRepositor/R_ML_DL
A collection of R projects on data science
pranjanpr/Quant-MELO-Portfolio
A Bayesian based architecture to evaluate the optimal weights of different stocks in a portfolio according to Global Minimum Variance and Tangency optimization problem.
parulnith/A-guide-to-Machine-Learning-in-R
A series of articles to get started into the field of Machine Learning with R language
talegari/solitude
An implementation of Isolation forest
vopani/Kaggle_SantanderProductRecommendation
Santander Product Recommendation competition on Kaggle
suneelpatel/R-for-Beginners
Learn R in simple and easy steps starting from basic to advanced concepts with examples. If you are trying to understand the R programming language as a beginner, this tutorial will give you enough understanding on almost all the concepts of the language from where you can take yourself to higher levels of expertise.
debsin/dropClust
Version 2.1.0 released
prodipta/techchart
R package for technical-analysis feature extraction - See package vignette for more details
MainakRepositor/Crypton-X
Cryptocurrency market cap-price prediction and visualization web app
Turing551/ICC-Cricket-World-Cup-2019
Prediction of World Cup 2019 using Artificial Intelligence and Machine Learning.
rsquaredacademy/nse2r
Fetch data from National Stock Exchange, India
talegari/safer
A consistent interface to encrypt and decrypt strings, R objects, files
Famguy/rgoodreads
An R package for the Goodreads API
nipfpmf/eventstudies
An R package for conducting event studies and a platform for methodological research on event studies.
dnackat/data-analysis-for-social-scientists-mitx
R scripts written for MIT's Data Analysis for Social Scientists course offered on edX.
vopani/AnalyticsVidhya_SmartRecruit
The Smart Recruit hackathon on AnalyticsVidhya
tvganesh/yorkr
This repository contains the code and documentation for cricket package yorkr
rsquaredacademy/blorr
Tools for developing binary logistic regression models
kunaldhariwal/TwisentR
Shiny App for tweet and sentiment analysis
shubhrampandey/coronaVirus-dataViz
Corona Virus Data Visuzalization Platform
samyak74/Food-Recognition
CNN based food recognition using Keras in Python and Shiny package in R.
mukul13/RYandexTranslate
R package to translate text using Yandex Translate API
Mu-Sigma/muHVT
Constructing hierarchical Voronoi tessellations for a given data set and overlay heatmaps for variables at various levels of the tessellations for in-depth data analysis. Credits to Mu Sigma for their continuous support throughout the development of the package.
rajkstats/git_discoverer_app
What's trending in data science space
aayushdube/R---Hands-On-Exercise-
This repository contains all my codes for hands on exercises for AMMA class
selva86/InformationValue
Information Value CRAN Pkg: Performance Analysis and companion functions that aid binary classification models like that of logistic regression
ankit2web/Twitter-Sentiment-Analysis-using-R-Shiny-WebApp
A Simple Approach to Twitter Sentiment Analysis in R Programming Language
vopani/Kaggle_TFI
TFI competition on Kaggle
Nirzaree/ShinyWebAppWithFormAndLeafletMap
This repo contains the code to build a webapp for data collection and viewing the map on a leaflet map using R Shiny. The specific webapp that I built is aimed to collect data of sustainability practices of various eateries around the world, in the times of climate change.
Mu-Sigma/RImpala
RImpala is an R package that helps you to connect and execute distributed queries using Cloudera Impala
daya6489/DriveML
Self-Drive Machine Learning Projects
kartikmehta15/IndiaHacksML
Machine Learning Hackathon organized by Hackerearth
KarthikJRao/MICA_AMMA_PGP-2
AMMA Hands on Exercises, Assignments, Class Exercises [Karthik J Rao 20160123041 PGP-2 MICA, Ahmedabad]
stuti24m/COVIDstats
COVID-19 Statistical Analysis Simulator App using R deployed on shinyapps.io a John Hopkins University COVID count clone and simulator
rsquaredacademy/rbin
Tools for binning data
rsquaredacademy/vistributions
Visualize probability distributions
harshitsaini/Business-Analytics-Data-Mining
Code Snippets & DataSets for Business Analytics & Data Mining/ Machine Learning Algorithms
mukul13/ROpenWeatherMap
R package to get weather data using OpenWeatherMap API
yashu-seth/friends-analysis-blog
A data analysis of the TV show friends.
dvats/mcmcse
Markov chain Monte Carlo Standard Errors
acharaakshit/RMiniZinc
R Interface to MiniZinc
OhLookCake/xkcd-Topics
Topic extraction from xkcd comics, using LDA
vopani/AnalyticsVidhya_SeersAccuracy
Seers Accuracy competition on Analytics Vidhya
yogihbti/warehouse_loc_determination
Shiny App for Warehouse location Determination
Pranov1984/Prediction-of-customer-propensity-to-churn
The aim of this project is to build a predictive model that will help a telecom company in devising targeted strategies for retention of customers.
MistryWoman/HR-Analytics-Attrition-Prediction
Predicting employee attrition through machine learning models
aakansh9/ponpare
A Kaggle competition (Rank 37 solution)
jrvarma/jrvFinance
R package for financial present value functions and option pricing
sanelysocial/K-Fold
K-Fold Cross Validation
amitvkulkarni/ProjectManagement
This application was built and submitted as part of R Shiny competition 2020. It can be used for creation of projects and related tasks. The user will be able to carry out all the basic CRUD operations on the data and save the changes.
AmareshMohapatra/R-Hands-On-Exercises
Hands On Exercises done in class to learn R Programming
rsquaredacademy/yahoofinancer
Obtain historical and near real time data from Yahoo Finance
tvganesh/MachineLearning-RandPython
MachineLearning-RandPython
prk327/PGDDA-Projects
A comprehensive 1 Year program taught by Industry experts and IIITB faculty; 7 case studies & projects; 400+ hours of academic learning & 30+ hours of industry mentoring
yashkrsingh/Activity-Recognition
Sensor Data Mining and Activity Recognition Using Cellphone Accelerometer
rahulchauhan049/covidDashboard
covid-19 Data visualization Dashboard
tvganesh/PracticalMachineLearningWithRandPython
Practical Machine Learning With R and Python
pravinknr/DataScience_R_Codes
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.
Ashish-Gore/Data-Science-Case-Studies-And-Algorithms
ExcelR Assignments and Projects
krupanss/IEDA
R Package for the Interactive Shiny Application for exploratory data analysis thru visualization
MayukhSobo/Loan_EDA
EDA for Prosper Loan data
aagarw30/R-Leaflet-Tutorial
This repo contains my code snippets for leaflet R package
adhok/Data-Summariser
A shiny app to drag and drop csv files to get fast data summaries of the data set.
kkdroidgit/IPECHackathonHostelManagement
Hostel 🏨 Management Project for IPEC Techathlon :octocat:
Junaid388/Attrition_Prediction
Employee turnover (attrition) is a major cost to an organization, and predicting turnover is at the forefront of needs of Human Resources (HR) in many organizations. Until now the mainstream approach has been to use logistic regression or survival curves to model employee attrition. However, with advancements in machine learning (ML), we can now get both better predictive performance and better explanations of what critical features are linked to employee attrition. In this post, we’ll use two cutting edge techniques.
talegari/pkggraph
A consistent and intuitive platform to explore the dependencies of packages in CRAN like repositories
NikitaD1/Estimating-term-structure-of-interest-rate-with-Kalman-Filter
Repository for simulation and estimation of CIR one factor model parameters
koundy/geom_roc_plot
This is a ggplot2 geom for plotting and comparing the ROC curves
deepeshgoeliitk/bingAdsR
Bing Ads in R
AmareshMohapatra/R-Exploration
Exploring R Studio functionality & R Programming
dupadhyaya/rfats
Financial Analytics and Time Series