Alternatives and similar repositories for data-science-interview:

Users that are interested in data-science-interview are comparing it to the libraries listed below

• amueller / pydata-amsterdam-2016
  Machine Learning with Scikit-Learn (material for pydata Amsterdam 2016)
  ☆30Updated 9 years ago
• glouppe / talk-pydata2015
  Talk on "Tree models with Scikit-Learn: Great learners with little assumptions" presented at PyPata Paris 2015
  ☆50Updated 10 years ago
• amueller / advanced-sklearn-boston-nlp-2016
  Material and slides for Boston NLP meetup May 23rd 2016
  ☆17Updated 8 years ago
• zygmuntz / kaggle-stackoverflow
  Predicting closed questions on Stack Overflow
  ☆44Updated 7 years ago
• DataNeel / nx2_cross_validation
  Run Nx2 Cross Validation for multiple binary classifiers in parallel with optional downsampling
  ☆13Updated 10 years ago
• jseabold / csc432-notebooks
  These are the IPython notebook files for the CSC 432 Spring '13 course.
  ☆23Updated 10 years ago
• fastforwardlabs / hello_deep_learning
  Example scripts for various deep learning APIs.
  ☆28Updated 9 years ago
• erikson84 / BayesDataAnalysisWithPyMC
  Python (PyMC) adaptation of the R code from "Doing Bayesian Data Analysis"
  ☆64Updated 8 years ago
• manugarri / pydata_2016_talk_recommenders
  PyData Madrid 2016 material for the talk: A Primer to recommendation Systems
  ☆37Updated 9 years ago
• tdhopper / udacity-deep-learning
  Install directions and example notebooks for Udacity's Deep Learning classes
  ☆28Updated 9 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• DeloitteHux-Old / proficiency-metric
  ☆28Updated 8 years ago
• numb3r33 / Kaggle-Competitions
  All Kaggle competitions
  ☆91Updated 8 years ago
• tdhopper / pydata-nyc-2015
  Understanding Probabilistic Topic Models with Simulation in Python
  ☆64Updated 7 years ago
• zlosa / TPOT_Kaggle
  Datasets and notebooks
  ☆13Updated 8 years ago
• braz / pycon2016_talk
  The notes and slides from my PyCon Ireland 2016 PyData talk an introduction to gradient boosting
  ☆18Updated 8 years ago
• amueller / tutorial_ml_gkbionics
  A Tutorial on Simple Machine Learning Methods Held for the Graduate School on Bionics, 2012
  ☆54Updated 11 years ago
• TomAugspurger / postlearn
  Common post-estimation tasks for scikit-learn
  ☆17Updated 8 years ago
• LucasEstevam / textSentimentViz
  Visualization of text sentiment using deep learning
  ☆43Updated 8 years ago
• amueller / advanced_git_nyu_2016
  Advanced git and github course material
  ☆39Updated 7 years ago
• ogrisel / spylearn
  Repo for experiments on pyspark and sklearn
  ☆79Updated 11 years ago
• kickback / time_series_with_python
  ☆11Updated 8 years ago
• gramolin / flavours-of-physics
  Second-ranked solution to the Kaggle "Flavours of Physics" competition
  ☆25Updated 9 years ago
• rhiever / webstep-sklearn-quickstart
  Scikit-learn quickstart tutorial for Webstep
  ☆19Updated 7 years ago
• szilard / datascience-latency
  Latency numbers every data scientist should know (aka the pyramid of analytical tasks) - the order of magnitude of computational time for…
  ☆20Updated 8 years ago
• echen / minifolds
  ggplot2-inspired d3 app to make instant interactive visualizations
  ☆55Updated 12 years ago
• paulperry / kaggle
  Kaggle competition results
  ☆20Updated 6 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
• yhat / beer-bandit
  Flask app to run a bandit algorithm testing different beer recommenders
  ☆25Updated 11 years ago
• fonnesbeck / pytenn2014_tutorial
  PyTennessee 2014: Statistical Data Analysis in Python
  ☆85Updated 10 years ago