nlathia / pydata_2016

Related projects ⓘ

Alternatives and complementary repositories for pydata_2016

• AileenNielsen / PyGotham_2016_Probabilistic_Graphical_Models
  Presentation + Jupyter Notebook from PyGotham July 2016
  ☆35Updated last year
• aqibsaeed / Anomaly-Detection
  Anomaly detection algorithm implementation in Python
  ☆130Updated 4 years ago
• rnditdev / PyData_London_2018_Computer_Vision
  These are the slides and code for my tutorial "Computer Vision: an (Un?)Expected Journey" at PyData London 2018
  ☆29Updated 6 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆91Updated last year
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆23Updated 7 years ago
• codyrioux / pydata2015seattle
  Tutorial materials for PyData 2015 Seattle.
  ☆34Updated 9 years ago
• pydataberlin / conf2017slides
  ☆57Updated 7 years ago
• mrahtz / sanger-machine-learning-workshop
  Code for machine learning workshop given to Sanger Systems group
  ☆39Updated 8 years ago
• jayinai / kaggle-sequence
  A compiled list of kaggle competitions and their winning solutions for sequence problems.
  ☆35Updated 8 years ago
• amitkaps / multidim
  Visualising Multi Dimensional Data
  ☆18Updated 6 years ago
• jakevdp / ESAC-stats-2014
  Material for my lectures at the ESAC statistics conference, Oct 27-31 2014
  ☆65Updated 10 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 5 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• mikemull / Notebooks
  Ipython notebooks on various topics
  ☆67Updated 6 years ago
• thismlguy / AJ_ML_Library
  This library is a wrapper for sklearn and works with data stored using Pandas module.
  ☆17Updated 8 years ago
• mpearmain / gestalt
  A helper library for data science pipeline
  ☆36Updated 5 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆66Updated 6 years ago
• gapatino / Making-Your-Code-Faster-Cython-and-parallel-processing-in-the-Jupyter-Notebook
  Jupyter Notebook for PyData DC 2016 on "Making Your Code Faster: Cython and parallel processing in the Jupyter Notebook"
  ☆12Updated 8 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• drivendataorg / power-laws-cold-start
  ☆22Updated last year
• jakevdp / SeattleBike
  Understanding Seattle Bike Count data
  ☆17Updated 7 years ago
• rasbt / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆19Updated 8 years ago
• GaelVaroquaux / stats_in_python_tutorial
  Material for the statistics in Python tutorial
  ☆42Updated 9 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 7 years ago
• RJT1990 / PyData2016-SanFrancisco
  A Tour of Time Series Analysis
  ☆23Updated 8 years ago
• justmarkham / kaggle-pycon-2015
  Solution code from my winning submission to Kaggle's PyCon 2015 competition
  ☆55Updated 9 years ago
• andreiolariu / kaggle-driver-telematics
  AXA Driver Telematics Challenge on Kaggle.com
  ☆50Updated 7 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 7 years ago