PythonWorkshop / intro-to-python

Related projects: ⓘ

• PythonWorkshop / intro-to-sklearn
  Notebooks covering introductory material to ML, ML with sklearn and tips.
  ☆77Updated 5 years ago
• jcbozonier / PyData2015
  ☆41Updated 9 years ago
• rasbt / math-for-machinelearning
  ☆21Updated this week
• bugra / pydata-seattle-2015
  Pydata Seattle 2015 Trend Estimation in Time Series Signals Deck + Notebooks
  ☆21Updated 9 years ago
• GaelVaroquaux / sklearn_europython_2014
  Scikit-learn Tutorial at EuroPython 2014
  ☆43Updated 5 years ago
• sujitpal / intro-dl-talk-code
  Jupyter notebooks and code for Intro to DL talk at Genesys
  ☆14Updated 8 years ago
• jdwittenauer / kaggle
  Repository for code used in Kaggle competitions.
  ☆22Updated 5 years ago
• kscottz / PyBay2017
  Python Tools for processing Space Imagery
  ☆38Updated 7 years ago
• rasbt / awesome-python-books
  ☆35Updated this week
• gkamradt / Zipfian-GSchool
  12 Week Data Science Immersive
  ☆26Updated 9 years ago
• rohan-varma / paper-analysis
  Analysis & Implementation of deep learning papers
  ☆11Updated 6 years ago
• Quantia-Analytics / DyDataSF2016Visualization
  Materials for the PyData San Francisco 2016 visualization tutorial
  ☆14Updated 7 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 8 years ago
• samjabrahams / talks
  Slides, notebooks, and other materials for public talks
  ☆9Updated 7 years ago
• thedataincubator / practical-ml
  ☆24Updated 5 years ago
• joshloyal / pydata-amazon-products
  Code for PyData Talk on "Classifying Products Based on Images and Text using Keras"
  ☆31Updated 7 years ago
• yandexdataschool / MLatImperial2016
  Materials for the course of machine learning at Imperial College organized by YSDA
  ☆23Updated 8 years ago
• walterreade / PyNotes
  ☆22Updated 5 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• ajschumacher / gadsdc
  materials for General Assembly Data Science DC course
  ☆81Updated 9 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 7 years ago
• ojedatony1616 / exploratory_transformation
  Repository for exploratory data transformation & visualization talk
  ☆26Updated 7 years ago
• nfmcclure / DataScience350
  Notes for Data Science 350 Class
  ☆23Updated 7 years ago
• parambharat / CarND-helpers
  ☆18Updated 7 years ago
• DanielSlater / PyDataLondon2016
  Collection of examples, links and slides for the tutorial "Building a Pong playing AI in just 1 hour(plus 4 days training...)" presented …
  ☆28Updated 8 years ago
• MLWave / Kaggle_Rotten_Tomatoes
  Code to munge data between Kaggle .tsv Rotten Tomatoes Sentiment Analysis data set and Vowpal Wabbit
  ☆24Updated 10 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 6 years ago
• abhishekkrthakur / walmart2015
  ☆26Updated 8 years ago
• PythonWorkshop / tensorboard_demos
  Make sense of deep neural networks using TensorBoard
  ☆21Updated 7 years ago
• maciejjaskowski / data-science-interview
  ☆24Updated 8 years ago