Alternatives and similar repositories for tales-science-data

Users that are interested in tales-science-data are comparing it to the libraries listed below

• dziganto / Data_Science_Fundamentals
  ☆101Updated 7 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
• ethen8181 / Business-Analytics
  Data Analytics, Statistics, Visualization (R / Python)
  ☆94Updated 8 years ago
• GalvanizeDataScience / self-study-resources
  DSI Self Study Resources
  ☆18Updated 6 years ago
• TomAugspurger / pandas-head-to-tail
  ☆87Updated 7 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• justmarkham / pydata-dc-2016-tutorial
  Tutorial: Machine Learning with Text in scikit-learn
  ☆74Updated 9 years ago
• ericmjl / data-testing-tutorial
  A short tutorial for data scientists on how to write tests for code + data.
  ☆121Updated 5 years ago
• justmarkham / DAT5
  General Assembly's Data Science course in Washington, DC
  ☆185Updated 3 years ago
• TomAugspurger / PyDataSeattle
  For the pandas tutorial at PyData Seattle: https://www.youtube.com/watch?v=otCriSKVV_8
  ☆116Updated 4 years ago
• kjam / data-cleaning-101
  Data Cleaning Libraries with Python
  ☆288Updated 2 years ago
• amueller / ml-training-advanced
  Materials for the "Advanced Scikit-learn" class in the afternoon
  ☆165Updated 7 years ago
• rhiever / python-data-visualization-course
  Course materials for teaching data visualization in Python.
  ☆170Updated 9 years ago
• tdpetrou / Book-Reviews
  ☆26Updated 8 years ago
• SethHWeidman / ODSC_Neural_Nets_11-04-17
  Talk "Deep Learning From Scratch Using Python" delivered at ODSC West on November 4, 2017
  ☆32Updated 7 years ago
• culturedbun / pandas-exercises
  Walkthrough exercises from PandasTutorial by Wes McKinney.
  ☆150Updated 5 years ago
• DerwenAI / a41124835ed0
  Course materials for "Get Started with NLP in Python"
  ☆62Updated 7 years ago
• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 9 years ago
• kjam / data-wrangling-pycon
  An Introduction to Data Wrangling with Python
  ☆82Updated 3 years ago
• InsightDataScience / Awesome-Data-Engineering-Content
  Sharing interesting and noteworthy Data Engineering content
  ☆70Updated 9 years ago
• jbwhit / jupyter-tips-and-tricks
  Using Project Jupyter for data science.
  ☆258Updated 4 years ago
• kjam / data-pipelines-course
  Course materials for my data pipeline video course with O'Reilly
  ☆200Updated 8 years ago
• mGalarnyk / Installations_Mac_Ubuntu_Windows
  Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).
  ☆236Updated 2 years ago
• robert8138 / deep-learning-deliberate-practice
  Deliberate Practice for Learning Deep Learning
  ☆110Updated 7 years ago
• sampathweb / odsc-feature-engineering-talk
  Feature Engineering with Pipeline Talk at ODSC West 2016, Santa Clara
  ☆17Updated 9 years ago
• gjreda / pydata2014nyc
  Materials for my pandas tutorial at PyData 2014, NYC
  ☆111Updated 10 years ago
• jakevdp / JupyterWorkflow
  Reproducible Data Analysis Workflow in Jupyter
  ☆118Updated 7 years ago
• podopie / DAT18NYC
  General Assembly repo for Data Science 18
  ☆36Updated 10 years ago
• s-heisler / pycon2017-optimizing-pandas
  Materials for PyCon 2017 presentation on optimizing Pandas code
  ☆213Updated 6 years ago
• cdeweyx / Hitchhikers-Guide-Machine-Learning
  Guide explaining and implementing fundamental machine learning algorithms in Python
  ☆172Updated 7 years ago