Alternatives and similar repositories for box-plots-for-education

Users that are interested in box-plots-for-education are comparing it to the libraries listed below

• harnav / pydata-docker-tutorial
  Tutorial given at PyData LA 2018
  ☆97Updated last year
• WillKoehrsen / probabilistic-programming
  Experimenting with and teaching probabilistic programming
  ☆105Updated 3 years ago
• drivendataorg / box-plots-sklearn
  An implementation of some of the tools used by the winner of the box plots competition using scikit-learn.
  ☆298Updated 7 years ago
• amueller / ml-workshop-1-of-4
  Introduction to Machine learning with Python, 4h interactive workshop
  ☆312Updated 5 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 7 years ago
• drivendataorg / competition-winners
  The code for the prize winners in DrivenData competitions.
  ☆406Updated 3 weeks ago
• dipanjanS / data_science_for_all
  Code and resources for my blog and articles to share Data Science and AI knowledge and learnings with everyone
  ☆211Updated 6 years ago
• dipanjanS / deep_transfer_learning_nlp_dhs2019
  Contains the code and deck for the presentation on Applying Deep Transfer Learning for NLP in Analytics Vidhya's DataHack Summit 2019
  ☆82Updated 6 years ago
• jalajthanaki / DataScience_Interview_Seminar
  This is the presentation on - What are the key points one should consider if they will be appearing in Data Science job interview
  ☆40Updated 7 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
  ☆163Updated 5 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 7 years ago
• LeiG / Applied-Predictive-Modeling-with-Python
  A collection of notebook to learn the Applied Predictive Modeling using Python.
  ☆280Updated 8 years ago
• jeffheaton / jh-kaggle-util
  Jeff Heaton's Kaggle Utilities
  ☆281Updated 5 years ago
• amueller / ml-workshop-3-of-4
  Advanced Machine Learning with Scikit-learn part I
  ☆143Updated 5 years ago
• klemag / pydata_nyc2018-intro-to-model-interpretability
  Notebook and slides for my talk at Pydata NYC 2018
  ☆88Updated last year
• bgweber / DS_Production
  ☆155Updated 5 years ago
• alexhuang1117 / Data-Science-Portfolio
  A Portfolio of my Data Science Projects
  ☆185Updated 6 years ago
• amueller / COMS4995-s20
  COMS W4995 Applied Machine Learning - Spring 20
  ☆245Updated 3 years ago
• VSerpak / DSE210x-Statistics-and-Probability-in-Data-Science-using-Python
  UCSanDiegoX edX Course DSE210x Statistics and Probability in Data Science using Python
  ☆60Updated 7 years ago
• suvoooo / Machine_Learning
  Some fundamental machine learning and data-analysis techniques are explained through realistic examples.
  ☆123Updated last year
• parulnith / What-I-learnt-by-interviewing-numerous-Kaggle-Grandmasters
  ☆38Updated 4 years ago
• ikding / pycon_time_series
  PyCon 2017 tutorial on time series analysis
  ☆72Updated 8 years ago
• SudalaiRajkumar / ML
  Codes related to various ML Hackathons
  ☆211Updated 6 years ago
• MaartenGr / Projects
  Data Science Portfolio
  ☆74Updated 4 years ago
• amueller / ml-workshop-2-of-4
  Intermediate Machine Learning with Scikit-learn, 4h interactive workshop
  ☆128Updated 4 years ago
• mnguyenngo / ab-framework
  Notes and Python scripts for A/B or Split Testing
  ☆144Updated 3 years ago
• Sundar0989 / EndtoEnd---Predictive-modeling-using-Python
  ☆56Updated 7 years ago
• cmawer / pycon-2017-eda-tutorial
  Resources for the PyCon 2017 tutorial, "Exploratory data analysis in python"
  ☆237Updated 3 years ago