Alternatives and similar repositories for automation-post

Users that are interested in automation-post are comparing it to the libraries listed below

• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 5 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 3 years ago
• microsoft / python-sklearn-classifier-cookiecutter
  Cookiecutter template for testing Python scikit-learn classifiers.
  ☆36Updated last year
• microsoft / python-sklearn-clustering-cookiecutter
  Cookiecutter template for testing Python scikit-learn clustering learners.
  ☆15Updated 3 years ago
• alteryx / predict-correct-answer
  Predict whether a student will correctly answer a problem based on past performance using automated feature engineering
  ☆32Updated 5 years ago
• quantopian / qgrid-notebooks
  Notebooks which will provide a demo of Qgrid functionality
  ☆20Updated 5 years ago
• matthewbrems / jupytercon-missing-data-2018
  JupyterCon Missing Data Talk 2018
  ☆23Updated 7 years ago
• 8080labs / showcases
  A collection of Python scripts
  ☆12Updated 5 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆87Updated 3 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• cs109 / git-and-github
  An introduction to git.
  ☆11Updated 10 years ago
• xdssio / big_data_benchmarks
  big data technologies comparisons for cleaning, manipulating and generally wrangling data in purpose of analysis and machine learning.
  ☆65Updated 5 years ago
• paypal / PPExtensions
  Set of iPython and Jupyter extensions to improve user experience
  ☆50Updated 6 years ago
• susanli2016 / Statistics-with-Python
  ☆26Updated 6 years ago
• jbwhit / data-science-teams
  Miscellaneous Jupyter Notebooks for my course.
  ☆24Updated 9 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆36Updated 6 years ago
• tdpetrou / Advent-of-Code-Pandas
  ☆22Updated 3 years ago
• vi3k6i5 / pandas_basics
  basic pandas tutorials
  ☆52Updated 8 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• croach / statistics-for-hackers
  A Jupyter notebook to accompany Jake VanderPlas's "Statistics for Hackers" talk from PyCon 2016.
  ☆77Updated 7 years ago
• WillKoehrsen / data-science-for-good
  Data Science for Good Projects
  ☆50Updated 7 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• fastai / sklearn-pandas
  Pandas integration with sklearn
  ☆21Updated 8 years ago
• navdeep-G / interpretable-ml
  Techniques & resources for training interpretable ML models, explaining ML models, and debugging ML models.
  ☆21Updated 3 years ago
• amitkaps / art-data-science
  The Art of Data Science
  ☆36Updated 6 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• 8080labs / bamboolib_binder_template
  bamboolib - template for creating your own binder notebook
  ☆21Updated 4 years ago
• datacamp / datacamp_facebook_live_titanic
  DataCamp Facebook Live Code Along Session 2: Learn how to complete a Kaggle competition using exploratory data analysis, data munging, da…
  ☆63Updated 5 years ago
• WillKoehrsen / mastering-large-datasets
  Work for Mastering Large Datasets with Python
  ☆20Updated 3 years ago
• ianozsvald / beyond_correlation
  Exploratory code to see if we can learn about feature relationships in a DataFrame using machine learning
  ☆55Updated 6 years ago