Alternatives and similar repositories for R-notes

Users that are interested in R-notes are comparing it to the libraries listed below

• amueller / sklearn-one-day
  One day workshop for machine learning with scikit-learn
  ☆63Updated 2 years ago
• EricSchles / datascience_book
  ☆133Updated last year
• AllenDowney / SurvivalAnalysisPython
  Explorations of survival analysis in Python
  ☆50Updated 2 years ago
• reshamas / ds_resources
  Data Science Resources
  ☆80Updated 7 months ago
• itsgorain / 100DaysOfNLP
  I will be putting notebooks created for #100daysofnlp here
  ☆20Updated 5 years ago
• amueller / aml
  Applied Machine Learning with Python
  ☆80Updated last year
• szilard / teach-data-science-UCLA-master-appl-stats
  Materials for STATS 418 - Tools in Data Science course taught in the Master of Applied Statistics at UCLA
  ☆137Updated 8 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆51Updated 2 years ago
• chiphuyen / requests-for-research
  A living collection of deep learning problems
  ☆36Updated 9 years ago
• firmai / reddit-data-science-project-ideas
  Reddit Data Science Project Ideas
  ☆11Updated 5 years ago
• robinsones / Data-Science-Freelancers
  An analysis of 93,000+ data science freelancers
  ☆57Updated 9 years ago
• jphall663 / GWU_rml
  ☆39Updated 6 months ago
• rasbt / PyMLSlides
  Slides for my machine learning course based on Sebastian Raschka's Python Machine Learning book
  ☆17Updated 7 years ago
• AllenDowney / BiteSizeBayes
  An introduction to Bayesian statistics using Python and (coming soon) R.
  ☆134Updated 2 years ago
• DistrictDataLabs / brookings-nlp
  Teaching materials for the text analytics course
  ☆19Updated 7 years ago
• h2oai / tutorials
  This is a repo for all the tutorials put out by H2O.ai. This includes learning paths for Driverless AI, H2O-3, Sparkling Water and more..…
  ☆134Updated last year
• john-guerra / MIDS_W209_Information_Visualization_Slides
  Slides for the W209 Information Visualization course of the Masters in Data Science at UC Berkeley
  ☆63Updated 10 months ago
• AllenDowney / ComplexityScience
  Repository for a workshop on Complexity Science
  ☆39Updated 4 years ago
• the-deep-learners / nyc-ds-academy
  In-class exercises for Deep Learning course at NYC Data Science Academy
  ☆32Updated 7 years ago
• yanneta / dl-course
  Notebooks for deep learning course
  ☆14Updated 3 years ago
• ansegura7 / NLP
  Free hands-on course with the implementation (in Python) and description of several Natural Language Processing (NLP) algorithms and tech…
  ☆81Updated 2 years ago
• rasbt / DeepLearning-Gdansk2019-tutorial
  Ordinal Regression tutorial for the International Summer School on Deep Learning 2019
  ☆70Updated 6 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• dair-ai / keep-learning-ml
  A club to keep learning about ML
  ☆91Updated 4 years ago
• AllenDowney / ExploratoryDataAnalysis
  Repository for an online class on Exploratory Data Analysis in Python
  ☆67Updated 6 years ago
• dair-ai / notebooks
  🔬 Sharing your data science notebooks with the community has never been this easy.
  ☆41Updated 3 years ago
• CarloLepelaars / stats_tutorial
  A gentle tutorial to essential concepts in statistics.
  ☆18Updated 6 years ago
• dipanjanS / live-manning-nlpconf20
  Papers, code and slides for my session at the live@manning NLP conference, 2020 covering my talk on Deep Transfer Learning for Natural La…
  ☆36Updated 5 years ago
• aschleg / hypothetical
  Hypothesis and statistical testing in Python
  ☆65Updated 5 years ago
• rasbt / stat451-machine-learning-fs21
  ☆151Updated 3 years ago