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Most Popular Feb 11-17

  1. new Gartner Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms, by Gregory Piatetsky
  2. new An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning, by George Seif
  3. new The Best and Worst Data Visualizations of 2018
  4. increase 9 Must-have skills you need to become a Data Scientist, updated
  5. new Your AI skills are worth less than you think
  6. new 7 Steps to Mastering Basic Machine Learning with Python 2019 Edition
  7. new The Analytics Engineer new role in the data team


Most Shared Feb 11-17

  1. Gold standard An Introduction to Scikit Learn: The Gold Standard of Python Machine Learning, by George Seif - Feb 13, 2019.
  2. Learn How to Listen: One of the hardest parts of being a data scientist, by Favio Vazquez - Feb 15, 2019.
  3. Gainers, Losers, and Trends in Gartner 2019 Magic Quadrant for Data Science and Machine Learning Platforms - Feb 11, 2019.
  4. Top 10 Data Science Use Cases in Telecom - Feb 14, 2019.
  5. The Analytics Engineer – new role in the data team - Feb 13, 2019.
  6. A Quick Guide to Feature Engineering - Feb 11, 2019.
  7. Top KDnuggets tweets, Feb 06-12: The Essential Data Science Venn Diagram; Python Pandas: Tricks & Features You May Not Know - Feb 13, 2019.


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