Alternatives and similar repositories for scipy-2018-sklearn

Users that are interested in scipy-2018-sklearn are comparing it to the libraries listed below

• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆141Updated 5 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆163Updated 5 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆285Updated 7 years ago
• amueller / COMS4995-s18
  COMS W4995 Applied Machine Learning - Spring 18
  ☆158Updated 6 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆224Updated 5 years ago
• tirthajyoti / Interactive_Machine_Learning
  IPython widgets, interactive plots, interactive machine learning
  ☆151Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 6 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆127Updated 4 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆310Updated 5 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆258Updated 4 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆166Updated 4 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 5 years ago
• cs109 / a-2017
  Public Repository for cs109a, 2017 edition
  ☆326Updated last year
• rasbt / data-science-tutorial
  Code material for a data science tutorial
  ☆197Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆104Updated 3 years ago
• shik3519 / machine-learning
  Implementation of different machine learning techniques
  ☆94Updated 7 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆352Updated 4 years ago
• ParrotPrediction / docker-course-xgboost
  Materials for an online-course - "Practical XGBoost in Python"
  ☆220Updated 8 years ago
• amueller / ml-training-intro
  Materials for the "Introduction to Machine Learning" class
  ☆228Updated 6 years ago
• shik3519 / programming-concepts-for-data-science
  Basics of programming: algorithms, data structures, object oriented programming
  ☆93Updated 6 years ago
• amueller / COMS4995-s19
  COMS W4995 Applied Machine Learning - Spring 19
  ☆301Updated 5 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆225Updated 4 years ago
• rasbt / msu-datascience-ml-tutorial-2018
  Machine learning with Python tutorial at MSU Data Science 2018
  ☆109Updated 7 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆267Updated 4 years ago
• jakevdp / sklearn_pydata2015
  Scikit-Learn Tutorial for PyData Seattle 2015
  ☆137Updated 9 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆275Updated 8 years ago
• leonvanbokhorst / NoteBooks-Statistics-and-MachineLearning
  Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog
  ☆325Updated 2 years ago
• fastai / numerical-linear-algebra-v2
  Jupyter Notebooks for Computational Linear Algebra course, taught summer 2018 in USF MSDS program
  ☆274Updated 6 years ago
• ericmjl / bayesian-stats-talk
  Doing Bayesian statistics in Python!
  ☆67Updated 7 years ago