Alternatives and similar repositories for numerical-mooc

Users that are interested in numerical-mooc are comparing it to the libraries listed below

• twiecki / pydata_ninja
  The Path of the PyData Ninja
  ☆16Updated 9 years ago
• AllenDowney / DataScience
  Site for a Data Science class taught by Allen Downey
  ☆44Updated 3 years ago
• daviddiazvico / scikit-datasets
  Scikit-learn-compatible datasets
  ☆16Updated 3 weeks ago
• mark-watson / cognitive-computing-book
  Code examples for the book https://leanpub.com/cognitive-computing
  ☆10Updated 2 years ago
• jakevdp / siglearn
  Tools for machine learning & modeling with noisy data
  ☆10Updated 10 years ago
• AllenDowney / BayesSeminar
  Bayesian statistics seminars
  ☆30Updated 8 years ago
• biolab / orange3-conformal
  Conformal Prediction library for Orange3
  ☆10Updated 6 years ago
• psinger / py-notebooks
  Notebooks
  ☆32Updated 6 years ago
• EpistasisLab / ebic
  EBIC - AI-based parallel biclustering algorithm
  ☆20Updated 6 years ago
• kiprotect / data-privacy-for-data-scientists
  A workshop on data privacy methods for data scientists.
  ☆71Updated 2 years ago
• leriomaggio / numpy-euroscipy
  Introduction to NumPy - Tutorial @ EuroSciPy
  ☆30Updated 2 years ago
• mpacer / Causal-Bayesian-NetworkX
  This is a set of utilities and formats that illustrate how one could begin to perform operations on causal graphs and sample over these g…
  ☆26Updated 10 years ago
• pmbaumgartner / excelify
  IPython Magic for exporting pandas objects to Excel
  ☆13Updated 7 years ago
• modusdatascience / glm-sklearn
  Some scikit-learn-esque wrappers for statsmodels GLM
  ☆23Updated 11 years ago
• MSRDL / TSA
  Time Series Anomaly Detection Toolkit
  ☆22Updated 6 years ago
• Kaggle / docker-rcran
  A dockerfile to install all of CRAN
  ☆20Updated 2 months ago
• chdoig / ep2015-ml-tutorial
  Beginner's Guide to Machine Learning Competitions, EuroPython 2015, Tutorial
  ☆29Updated 8 years ago
• twosigma / beaker-notebook-archive
  Archive of Beaker Notebook
  ☆12Updated 8 years ago
• alteryx / DSx
  Hands on tutorials demonstrating the concepts of Prediction engineering, Feature engineering and automation in data science.
  ☆29Updated 7 years ago
• sotte / pydata_berlin_2017_active_learning
  ☆12Updated 8 years ago
• thunder-project / thunder-regression
  algorithms for mass univariate regression
  ☆12Updated 6 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• Rohithram / Self-Organizing-Maps-using-KNN
  High Frequency Time series Anomaly Detection using Self Organizing Maps (SOM) which is based on Competitive Learning a variant of the Neu…
  ☆11Updated 7 years ago
• cesium-ml / cesium_web
  Cesium Web Frontend
  ☆43Updated 5 years ago
• benfulcher / hctsa_python
  Initial attempt to incorporate some time-series analysis features from hctsa into python land
  ☆28Updated 9 years ago
• dlab-berkeley / python-for-everything
  Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab
  ☆73Updated 8 years ago
• DataHackIL / DataChallenges
  DataHack Challenges - Challenges offered during our hackathon by top data companies.
  ☆12Updated 5 years ago
• slipguru / adenine
  ADENINE: A Data ExploratioN PipelINE
  ☆15Updated 6 years ago
• UWSEDS / LectureNotes-Autumn2017
  Lecture notes & materials for the Autumn 2017 version of this course
  ☆10Updated 7 years ago
• mrocklin / distributed
  ☆11Updated 4 months ago