Trending repositories for topic r
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Apache Spark - A unified analytics engine for large-scale data processing
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
R package for drawing regulation playing surfaces for several sports
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
R package for statistical inference using partially observed Markov processes
A wrapper for extracting world football (soccer) data from FBref, Transfermark, Understat
This repository provides example code for loading and analyzing data from AHRQ's Medical Expenditure Panel Survey (MEPS). More information about the survey and access to public use data files is avail...
R package to infer biological activities from omics data using a collection of methods.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
Apache Spark - A unified analytics engine for large-scale data processing
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
A curated list of awesome responsible machine learning resources.
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
Various Types of Stock Analysis in Excel, Matlab, Power BI, Python, R, and Tableau
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
Companion code repository for the O'Reilly "Python and R for the Modern Data Scientist" book.
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many re...
Solutions to Introduction to Statistical Learning second edition in bookdown
R Package for Calculating Healthy Eating Index-2020 (HEI2020), Alternative Healthy Eating Index (AHEI), Dietary Approaches to Stop Hypertension (DASH), Mediterranean Diet (MED), Dietary Inflammation ...
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Apache Spark - A unified analytics engine for large-scale data processing
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many re...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数...
A curated list of awesome responsible machine learning resources.
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many re...
This is a repository that I have created to showcase skills, share projects and track my progress in Data Analytics / Data Science related topics.
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
Create tidy probability/density tibbles and plots of randomly generated and empirical data.
Solutions to Introduction to Statistical Learning second edition in bookdown
An R package and web app for spatial visualisation of admixture on a projected map
List of Data Science and Machine Learning Resource that I frequently use
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Olink R package: A collection of functions to facilitate analysis of proteomic data from Olink. The goal of this package is to help users extract biological insights from proteomic data run on the Ol...
An Extensible Suite of High-Performance and Low-Dependency Packages for Statistical Computing and Data Manipulation in R
A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is impleme...
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Demo showing how to setup continuous integration deployment of an R Shinylive App on GitHub Pages through GitHub Actions
Materials for the "Generalised Additive Models in R" workshop for Forecasting for Social Good.
:computer: wrapper for ada-url a WHATWG-compliant and fast URL parser written in modern C++
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
Apache Spark - A unified analytics engine for large-scale data processing
Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.
A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tas...
:rocket: Build and manage real-life ML, AI, and data science projects with ease!
🚨 GROW YOUR AUDIENCE WITH HUGOBLOX! 🚀 HugoBlox is an easy, fast no-code website builder for researchers, entrepreneurs, data scientists, and developers. Build stunning sites in minutes. 适合研究人员、企业家、数...
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
A curated list of awesome responsible machine learning resources.
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me...
Carefully curated resource links for data science in one place
A Tutorial for Setting R Development Environment with VScode, Dev Containers, and Docker
Turn your data frame into a tableau style drag and drop UI interface to build visualization in R.
Analyzing and visualizing KEGG information using the grammar of graphics
Cookbook to provide solutions to common tasks and problems in using Polars with R
greenR is an R package that enables the quantification, analysis, and visualization of urban greenness within city networks. It leverages data from OpenStreetMap (www.openstreetmap.org) and is impleme...
Here lies the resources and topics necessary for the role of Data Scientist and Machine Learning
Friends don't let friends make certain types of data visualization - What are they and why are they bad.
A 'ggplot2' extension that focusses on expanding the plotter's arsenal of guides, such as axes, legends and colour bars. It brings various improvements to existing guides by re-implementation, as ...
Data-Scientist-Books (Machine Learning, Deep Learning, Natural Language Processing, Computer Vision, Long Short Term Memory, Generative Adversarial Network, Time Series Forecasting, Probability and St...
Read specialized NGS formats as data frames in R, Python, and more.
Quarto-based template for designing websites of university courses.
scPerturb: A resource and a python/R tool for single-cell perturbation data