gizotso's Stars
INRIA/scikit-learn-mooc
Machine learning in Python with scikit-learn MOOC
joelgrus/data-science-from-scratch
code for Data Science From Scratch book
rpmuller/PythonCrashCourse
A quick introduction to Python for Scientists and Engineers
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
swcarpentry/r-novice-inflammation
Programming with R
TheAlgorithms/Python
All Algorithms implemented in Python
geekcomputers/Python
My Python Examples
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
ziishaned/learn-regex
Learn regex the easy way
realpython/python-guide
Python best practices guidebook, written for humans.
mortenbra/alexandria-plsql-utils
Oracle PL/SQL Utility Library
jcheng5/googleCharts
Google Charts bindings for the Shiny web framework for R
daattali/ggExtra
📊 Add marginal histograms to ggplot2, and more ggplot2 enhancements
agconti/kaggle-titanic
A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
chengjun/Data-Mining-With-R
data_mining_with_r
jonathan-bower/DataScienceResources
Open Source Data Science Resources.
jonasstein/R-Reference-Card
R Reference Card
adam-p/markdown-here
Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.
nborwankar/LearnDataScience
Open Content for self-directed learning in data science
ipython/ipython
Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.
donnemartin/data-science-ipython-notebooks
Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.