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KDnuggets Home » News » 2021 » Apr » Top Stories » Top Stories, Mar 29 – Apr 4: Top 10 Python Libraries Data Scientists should know in 2021; Shapash: Making Machine Learning Models Understandable ( 21:n13 )

Top Stories, Mar 29 – Apr 4: Top 10 Python Libraries Data Scientists should know in 2021; Shapash: Making Machine Learning Models Understandable


Also: The 8 Most Common Data Scientists; Easy AutoML in Python; How to Succeed in Becoming a Freelance Data Scientist; The 8 Most Common Data Scientists



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  1. Top 10 Python Libraries Data Scientists should know in 2021Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
  2. Shapash: Making Machine Learning Models Understandable, by Yann Golhen
  3. The 8 Most Common Data Scientists, by JABDE
  4. Easy AutoML in Python, by Dylan Sherry
  5. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida

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  1. Shapash: Making Machine Learning Models Understandable, by Yann Golhen
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  3. Easy AutoML in Python, by Dylan Sherry
  4. Deep Learning Is Becoming Overused, by Michael Grogan
  5. The 8 Most Common Data Scientists, by JABDE

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  1. 7 Must-Try #DataVisualization Libraries in #Python
  2. Charticulator: Microsoft Research has quietly open-sourced a game-changing #Datavisualization platform @MSFTResearch
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  1. How To Overcome The Fear of Math and Learn Math For Data Science, by Arnuld On Data
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  3. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida
  4. Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
  5. Are You Still Using Pandas to Process Big Data in 2021? Here are two better options, by Roman Orac

Most Shared Past 30 Days

  1. How To Overcome The Fear of Math and Learn Math For Data Science, by Arnuld On Data
  2. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida
  3. More Data Science Cheatsheets, by Matthew Mayo
  4. Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
  5. A Machine Learning Model Monitoring Checklist: 7 Things to Track, by Dral & Samuylova

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