Found 795 repositories(showing 30)
jonathan-bower
Open Source Data Science Resources.
ujjwalkarn
a curated list of R tutorials for Data Science, NLP and Machine Learning
junjiecai
数据科学相关的学习资源,例如MOOC课程,OCW课程,电子书等等。
bonzanini
Companion code for my video course on Practical Python Data Science Techniques, published by Packt Publishing
MonkmanMH
Ebook code for Data Science with R: A Resource Compendium
joseph-rickert
The repository contains slides, code and markdown files for the Revolution Analytics Webinar: Data Science with R given 9/25/14
MonkmanMH
NOTE: migrating to ebook form at https://github.com/MonkmanMH/DataScienceResources
josepcurto
No description available
YTLogos
No description available
DaedalusDreamJournal
repository of links, video and other stuff related to the #66daysofdatachallenge
bmj-school
No description available
iiaiac
A Reference of Python for Data Science.
andreikarpau
Repository For Data Science Projects
happyrabbit
R package with functions to streamline my data science projects
MohamedAlaaAli
No description available
kevin-m-kent
Helpful resources for learning data science that I've come across over the past couple of years.
thehoneymad
My unordered list of traversal into the world of data science.
gaugup
This repository houses some of the links which I found useful for data science and machine learning.
jonas-ponas
Data Science Stuff in R
quesada
No description available
datascienceroadmap
Data Science Roadmap Website Source
imamahasane
The material that follows is an outline for learning Data Science skills for an absolute beginner.
jcasas4
Data Science projects
datasciencer2022
Config files for my GitHub profile.
khanparwaz
No description available
guilhermeaugusto9
List of links about Data Science, containing codes, concepts repositories, courses and etc
RaphKrieg
No description available
Harthuz
No description available
Simple implementations of shallow learning algorithms in Python
BhuvaneshBhatt
A review of data science I did in March and April 2025, including regression, bootstrapping, dimension reduction, anomaly detection, the EM algorithm, priors, MCMC and Variational Inference.