Alternatives and similar repositories for mglearn

Users that are interested in mglearn are comparing it to the libraries listed below

• PacktPublishing / Bayesian-Analysis-with-Python
  Bayesian Analysis with Python by Packt
  ☆223Updated 3 years ago
• amueller / scipy-2018-sklearn
  Scipy 2018 scikit-learn tutorial by Guillaume Lemaitre and Andreas Mueller
  ☆249Updated 7 years ago
• s-heisler / pycon2017-optimizing-pandas
  Materials for PyCon 2017 presentation on optimizing Pandas code
  ☆213Updated 6 years ago
• amueller / scipy-2017-sklearn
  Scipy 2017 scikit-learn tutorial by Alex Gramfort and Andreas Mueller
  ☆287Updated 8 years ago
• pydata / pydata-cookbook
  PyData Cookbook Project
  ☆211Updated 7 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆166Updated 7 years ago
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆107Updated 3 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆284Updated 9 years ago
• bokeh / bokeh-notebooks
  Interactive Web Plotting with Bokeh in IPython notebook
  ☆734Updated 2 years ago
• WillKoehrsen / Bokeh-Python-Visualization
  A Bokeh project developed for learning and teaching Bokeh interactive plotting!
  ☆362Updated 4 years ago
• AllenDowney / BayesMadeSimple
  Code for a tutorial on Bayesian Statistics by Allen Downey.
  ☆357Updated 5 years ago
• AllenDowney / CompStats
  Code for a workshop on statistical interference using computational methods in Python.
  ☆226Updated 4 years ago
• altair-viz / altair_notebooks
  Tutorial and Examples Jupyter Notebooks for Altair
  ☆231Updated 4 years ago
• neerjad / DataVisualization
  Tutorials on visualizing data using python packages like bokeh, plotly, seaborn and igraph
  ☆272Updated 5 years ago
• pandas-ml / pandas-ml
  pandas, scikit-learn, xgboost and seaborn integration
  ☆318Updated 5 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆164Updated 5 years ago
• PyCon / 2017-slides
  Slides and talk assets from PyCon 2017
  ☆428Updated 8 years ago
• fonnesbeck / intro_stat_modeling_2017
  Introduction to Statistical Modeling with Python (PyCon 2017)
  ☆169Updated 5 years ago
• gakhov / pycon-ua-2018
  Talk at PyCon UA 2018 (Kharkov, Ukraine)
  ☆63Updated 7 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• pydata / parallel-tutorial
  Parallel computing in Python tutorial materials
  ☆308Updated 6 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆315Updated 5 years ago
• enthought / Numpy-Tutorial-SciPyConf-2019
  Numpy-Tutorial-SciPyConf-2019
  ☆100Updated 3 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• amueller / ml-workshop-4-of-4
  Advanced Machine Learning with Scikit-learn part II
  ☆164Updated 5 years ago
• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago
• knathanieltucker / bit-of-data-science-and-scikit-learn
  Youtube tutorial associated content
  ☆128Updated 6 years ago
• chendaniely / scipy-2017-tutorial-pandas
  SciPy 2017 Pandas Tutorial
  ☆161Updated 5 years ago
• Jupyter-contrib / jupyter_nbextensions_configurator
  A jupyter notebook serverextension providing config interfaces for nbextensions.
  ☆989Updated last year