ssantic's Stars
aymericdamien/TensorFlow-Examples
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
manugarri/pydata_2016_talk_recommenders
PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
TomAugspurger/PyDataSeattle
For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
kaleko/CourseraML
I took Andrew Ng's Machine Learning course on Coursera and did the homework assigments... but, on my own in python because I love jupyter notebooks!
jundongl/scikit-feature
open-source feature selection repository in python
rushter/data-science-blogs
A curated list of data science blogs
WinVector/ValidatingModelsInR
Slides and code for "Validating Models in R" Strata 2016 RDay http://conferences.oreilly.com/strata/hadoop-big-data-ca/public/schedule/detail/48053
ResidentMario/missingno
Missing data visualization module for Python.
wangz10/class_imbalance
Jupyter Notebook presentation for class imbalance in binary classification
mdipierro/nlib
The book "Annotated Algorithms in Python" and the nlib.py library
robdmc/pandashells
:panda_face: Bringing the python data stack to the shell prompt
dodger487/dplython
dplyr for python
iskandr/fancyimpute
Multivariate imputation and matrix completion algorithms implemented in Python
machinalis/satimg
Satellite data processing experiments
thombashi/SimpleSQLite
SimpleSQLite is a Python library to simplify SQLite database operations: table creation, data insertion and get data as other data formats. Simple ORM functionality for SQLite.
GalvanizeDataScience/building-spark-applications-live-lessons
Supporting content (slides and exercises) for the Addison-Wesley (Pearson) video series covering best practices for developing scalable Spark applications for predictive analytics in the context of a data scientist's standard workflow.
takluyver/nbopen
Open a Jupyter notebook in the best available server
dask/dask
Parallel computing with task scheduling
nvdv/vprof
Visual profiler for Python
tmadl/sklearn-expertsys
Highly interpretable classifiers for scikit learn, producing easily understood decision rules instead of black box models
rhiever/datacleaner
A Python tool that automatically cleans data sets and readies them for analysis.
NathanEpstein/Dora
Tools for exploratory data analysis in Python
StijnMiroslav/top-starred-devs-and-repos-to-follow
The Top-Starred Python GitHub Devs, Orgs, and Repos to Follow (All-Time and Trending)
rlabbe/Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
mahmoud/boltons
🔩 Like builtins, but boltons. 250+ constructs, recipes, and snippets which extend (and rely on nothing but) the Python standard library. Nothing like Michael Bolton.
reubano/pygogo
A Python logging library with superpowers
Quartz/bad-data-guide
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.
zmjones/edarf
exploratory data analysis using random forests
mrocklin/pydata-toolz
Tutorial for Funcitonal Python tutorial at PyData-NYC 2013
machinalis/featureforge
A set of tools for creating and testing machine learning features, with a scikit-learn compatible API