Alternatives and similar repositories for ensae_teaching_cs

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

• TomAugspurger / dask-tutorial-pycon-2018
  ☆135Updated 6 years ago
• DataScienceUB / DeepLearningfromScratch2018
  DeepLearningfromScratch2018
  ☆20Updated 7 years ago
• dataforgoodfr / batch_5_transplant
  Projet de prédiction de transplantation pulmonaire en partenariat avec l'hôpital Foch
  ☆20Updated 3 years ago
• facultyai / lens
  Summarise and explore Pandas DataFrames
  ☆98Updated 5 years ago
• peopledoc / mlvtools
  Public repository for versioning machine learning data
  ☆42Updated 4 years ago
• GaelVaroquaux / sklearn_ensae_course
  Materials for a course on scikit-learn at ENSAE
  ☆31Updated 9 years ago
• hgrif / example-project
  Example Python DS project
  ☆71Updated 7 years ago
• ioam / scipy-2017-holoviews-tutorial
  Material for 'Interactive Data Visualization with HoloViews & Bokeh' SciPy tutorial
  ☆48Updated 3 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago
• iiSeymour / sparkline-nb
  Render sparkline style charts in pandas dataframes
  ☆94Updated 4 years ago
• altair-viz / altair_notebooks
  Tutorial and Examples Jupyter Notebooks for Altair
  ☆230Updated 4 years ago
• TomAugspurger / skmca
  A scikit-learn compatible implementation of MCA
  ☆30Updated 8 years ago
• tdhopper / pythonplot.com
  📈 Interactive comparison of Python plotting libraries for exploratory data analysis. Examples of using Pandas plotting, plotnine, Seabor…
  ☆112Updated 3 months ago
• springcoil / PyDataLondonTutorial
  PyDataLondonTutorial
  ☆26Updated 9 years ago
• croach / oreilly-matplotlib-course
  Jupyter notebooks from my O'Reilly Media course "Matplolib for Developers: Data Visualization and Analysis with Python"
  ☆142Updated 9 years ago
• fabianp / mash_2016_sklearn_intro
  Material for the MASH course on introduction to scikit-learn
  ☆16Updated 8 years ago
• d6t / d6t-python
  Accelerate data science
  ☆118Updated 4 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆78Updated 7 years ago
• TomAugspurger / pydata-chi-h2t
  Materials for the pandas tutorial at PyData Chicago 2016
  ☆56Updated 5 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆93Updated 2 years ago
• GaelVaroquaux / interpreting_ml_tuto
  Tutorial on interpreting and understanding machine learning models
  ☆69Updated 7 years ago
• pzwang / bokeh-dashboard-webinar
  Examples for Bokeh Dashboard webinar
  ☆28Updated 9 years ago
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆201Updated last year
• deeplook / pydata_berlin2016_materials
  Collection of pointers to slides and repositories from speakers at PyData Berlin 2016
  ☆37Updated 9 years ago
• godatadriven / evol
  a python grammar for evolutionary algorithms and heuristics
  ☆192Updated 3 years ago
• yassineAlouini / hyperparameters-optimization
  The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
  ☆11Updated 9 years ago
• nickc1 / sklearn_fastapi
  Building an API with the FastAPI framework to serve a scikit-learn model.
  ☆18Updated 7 years ago
• rougier / python-visualization-landscape
  Adaptation of Jake VanderPlas graphic about python visualization landscape
  ☆105Updated 8 years ago
• teddyroland / python-biplot
  Generates simple biplot using common scientific Python packages
  ☆35Updated 11 years ago