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

Most Popular Last Week

1. Top 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

Most Shared Last Week

1. Shapash: Making Machine Learning Models Understandable, by Yann Golhen
2. What’s ETL?, by Omer Mahmood
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

Most Popular Tweets Last Week

1. 7 Must-Try #DataVisualization Libraries in #Python
2. Charticulator: Microsoft Research has quietly open-sourced a game-changing #Datavisualization platform @MSFTResearch
3. Easy AutoML in Python - KDnuggets
4. Best #Python IDEs and Code Editors You Should Know - KDnuggets #KDN
5. What’s ETL, and why is it critical for #DataScience? - KDnuggets

Most Popular Past 30 Days

1. How To Overcome The Fear of Math and Learn Math For Data Science, by Arnuld On Data
2. More Data Science Cheatsheets, by Matthew Mayo
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