Alternatives and similar repositories for scikit-learn-classifiers

Users that are interested in scikit-learn-classifiers are comparing it to the libraries listed below

• mmmayo13 / scikit-learn-beginners-tutorials
  Abridged implementation of the official scikit-learn beginner tutorials
  ☆51Updated 9 years ago
• rasbt / pydata-chicago2016-ml-tutorial
  Machine learning with scikit-learn tutorial at PyData Chicago 2016
  ☆128Updated 8 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• rasbt / scipy-2016-sklearn
  Scikit-learn tutorial at SciPy2016
  ☆19Updated 8 years ago
• RubensZimbres / Repo-2016
  R, Python and Mathematica Codes in Machine Learning, Deep Learning, Artificial Intelligence, NLP and Geolocation
  ☆108Updated 6 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 8 years ago
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 8 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆136Updated 9 years ago
• datalad-datasets / machinelearning-books
  Collection of great (and free) machine learning books
  ☆117Updated 3 years ago
• PythonWorkshop / intro-to-sklearn
  Notebooks covering introductory material to ML, ML with sklearn and tips.
  ☆77Updated 6 years ago
• bugra / pydata-dal-2015
  Pydata Dallas 2015 Scikit-Learn Tutorial
  ☆62Updated 10 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated last year
• mbernico / CS570
  Code for CS570, Essentials of Data Science
  ☆109Updated 7 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆76Updated 6 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• fastai / word-embeddings-workshop
  This contains materials for the word embeddings workshop
  ☆127Updated 7 years ago
• rouseguy / DeepLearning-Image
  Introduction to Deep Learning for Image Recognition
  ☆151Updated 9 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆109Updated 4 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆228Updated 6 years ago
• piskvorky / data_science_python
  Source code for the "Practical Data Science in Python" tutorial
  ☆58Updated 9 years ago
• gangeshwark / all-datasets-links
  Curated list of all dataset websites that I find
  ☆84Updated 6 years ago
• GaelVaroquaux / scikit-learn-tutorial
  Applied Machine Learning in Python with scikit-learn
  ☆131Updated 13 years ago
• gapatino / Doing-frequentist-statistics-with-Scipy
  Repository for the PyData DC 2016 tutorial
  ☆29Updated 8 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago
• jseabold / depy
  DePy 2015 Talk
  ☆117Updated 7 years ago
• jonathanrocher / pandas_tutorial
  Pandas tutorial for SciPy2015 and SciPy2016 conference
  ☆142Updated 8 years ago
• rhiever / python-data-visualization-course
  Course materials for teaching data visualization in Python.
  ☆171Updated 9 years ago
• rasbt / pydata-annarbor2017-dl-tutorial
  Code snippets for "Introduction to Deep Learning with TensorFlow" at PyData Ann Arbor Aug 2017
  ☆80Updated 7 years ago