Alternatives and similar repositories for awesome-data-science:

Users that are interested in awesome-data-science are comparing it to the libraries listed below

• maxto / R-Books
  A non-exhaustive list of R books. Full list here bookdown.org
  ☆32Updated 3 years ago
• Deena-Gergis / mlflow_tracking
  Illustarting basic functionality of MLflow tracking
  ☆14Updated 3 years ago
• Akai01 / caretForecast
  Conformal Time Series Forecasting Using State of Art Machine Learning Algorithms
  ☆25Updated 2 years ago
• mguindani / Lectures
  This repository contains slides from some of the classes I have taught in my career. The repository will be updated from time to time. I…
  ☆33Updated this week
• mlpapers / missing-data
  Awesome papers on Missing Data
  ☆13Updated 4 years ago
• RamiKrispin / Introduction-to-JavaScript
  Introduction to JavaScript - math operations, variables, functions, objects, etc.
  ☆18Updated 2 years ago
• AnttiRask / learning_ggplot2
  ☆19Updated 3 months ago
• adrianolszewski / Logistic-regression-is-regression
  Despite the popular yet wrong claim that logistic regression "is not a regression", it's one of the key regression and hypothesis testing…
  ☆26Updated 8 months ago
• AlessandroCorradini / Harvard-Data-Science-Professional
  Repository for the Data Science Professional Program from Harvard University on edX
  ☆37Updated 5 years ago
• business-science / gpu_accelerated_forecasting_modeltime_gluonts
  GPU-Accelerated Deep Learning for Time Series using Modeltime GluonTS (Learning Lab 53). Event sponsors: Saturn Cloud, NVIDIA, & Business…
  ☆24Updated 3 years ago
• RamiKrispin / uselectricity-etl
  Example for ETL process with R, Docker, and Github Actions (WIP...).
  ☆25Updated 2 years ago
• mayer79 / ml_lecture
  intro to ML
  ☆29Updated 2 weeks ago
• Tirgit / missCompare
  missCompare R package - intuitive missing data imputation framework
  ☆39Updated 4 years ago
• t-kalinowski / deep-learning-with-R-2nd-edition-code
  Code from the book "Deep Learning with R, 2nd Edition"
  ☆57Updated last year
• m-clark / data-processing-and-visualization
  This document forms the basis of several workshops/talks that get into everyday programming with R, but also includes mirrored code in Py…
  ☆31Updated 4 years ago
• RamiKrispin / useR2024-pipeline-workshop
  Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"
  ☆57Updated this week
• benvancalster / classimb_calibration
  ☆8Updated 3 years ago
• LamaTe / mlr3shiny
  mlr3shiny: Machine Learning in Shiny with mlr3
  ☆28Updated this week
• rasbt / posit2023-python-ml
  Workshop materials for posit::conf(2023)
  ☆27Updated last year
• business-science / modeltime.h2o
  Forecasting with H2O AutoML. Use the H2O Automatic Machine Learning algorithm as a backend for Modeltime Time Series Forecasting.
  ☆42Updated last year
• mlr-org / mlr3gallery
  Case studies using mlr3
  ☆21Updated 2 years ago
• FarrellDay / miceRanger
  miceRanger: Fast Imputation with Random Forests in R
  ☆67Updated 2 years ago
• SurgicalInformatics / healthyr_notebooks_materials
  Scroll down this page for installation instructions, or see this poster:
  ☆24Updated 2 months ago
• RamiKrispin / rstudio-docker-template
  A template to launch RStudio inside a container with the local RStudio settings with docker-compose
  ☆16Updated 11 months ago
• juliasilge / learntidytext
  Learn about text mining 📄 with tidy data principles
  ☆45Updated 3 weeks ago
• m-clark / book-of-models
  Spells for everyday living. (also a book coming out in 2025)
  ☆64Updated last week
• jthomasmock / arrow-dplyr
  A quick lightning talk on using arrow and dplyr together
  ☆39Updated 2 years ago
• javedali99 / r-resources-for-data-science
  A biggest collection of free books and other resources for R programming
  ☆32Updated last month
• kasaai / ctgan
  R interface to CTGAN
  ☆25Updated 2 years ago
• posit-dev / py-shinyswatch
  Bootswatch themes for py-shiny
  ☆32Updated 3 months ago