emmansh's Stars
palantir/pyspark-style-guide
This is a guide to PySpark code style presenting common situations and the associated best practices based on the most frequent recurring topics across the PySpark repos we've encountered.
johnny-chivers/pyspark-glue-tutorial
ClaudioZandonella/trackdown
R package for collaborative writing and editing of R Markdown (or Sweave) documents in Google Docs.
arcaldwell49/Superpower
Simulation-Based Power Analysis
aws-samples/aws-mlu-explain
Visual, Interactive Articles About Machine Learning: https://mlu-explain.github.io/
rstudio/plumbertableau
R package for creating Plumber APIs that function as Tableau Analytics Extensions
jbkunst/highcharter
R wrapper for highcharts
jamovi/jamovi
jamovi - open software to bridge the gap between researcher and statistician
jasp-stats/jasp-desktop
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
iamericfletcher/awesome-r-learning-resources
A curated collection of free resources to help deepen your understanding of the R programming language. Updated regularly. Contributions encouraged via pull request (see contributing.md).
FluxML/Flux.jl
Relax! Flux is the ML library that doesn't make you tensor
sktime/sktime
A unified framework for machine learning with time series
mml-book/mml-book.github.io
Companion webpage to the book "Mathematics For Machine Learning"
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
ml-tooling/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
virgili0/Virgilio
Your new Mentor for Data Science E-Learning.
Yorko/mlcourse.ai
Open Machine Learning Course
DistrictDataLabs/yellowbrick
Visual analysis and diagnostic tools to facilitate machine learning model selection.
drivendataorg/cookiecutter-data-science
A logical, reasonably standardized, but flexible project structure for doing and sharing data science work.
modin-project/modin
Modin: Scale your Pandas workflows by changing a single line of code
NVIDIA-Merlin/dataloader
The merlin dataloader lets you rapidly load tabular data for training deep leaning models with TensorFlow, PyTorch or JAX
ageron/handson-ml3
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Paulescu/hands-on-rl
Free course that takes you from zero to Reinforcement Learning PRO 🦸🏻🦸🏽
haozhu233/kableExtra
Construct Complex Table with knitr::kable() + pipe.
Non-Contradiction/JuliaCall
Embed Julia in R
tgrosinger/advanced-tables-obsidian
Improved table navigation, formatting, and manipulation in Obsidian.md
carl24k/fight-churn
Code from the book Fighting Churn With Data
JuliaDataScience/JuliaDataScience
Book on Julia for Data Science
AllenDowney/ThinkBayes2
Text and code for the forthcoming second edition of Think Bayes, by Allen Downey.
iterative/dvc
🦉 ML Experiments and Data Management with Git