Here are the most popular May 2021 stories on KDnuggets, based on data as of June 9. We will compile the data and publish the KDnuggets top blog rewards next week, based on UPV for top blogs during 21 days after their publication.

Most Viewed – Platinum Badge (>32,000 UPV)

1. A Guide On How To Become A Data Scientist (Step By Step Approach), by Aditya Agarwal (*)
2. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo (*)
3. Vaex: Pandas but 1000x faster, by Ahmad Anis (*)

Most Viewed – Gold Badge (>16,000 UPV)

4. Data Preparation in SQL, with Cheat Sheet!, by Stan Pugsley
5. Charticulator: Microsoft Research open-sourced a game-changing Data Visualization platform, by Josh Taylor
6. Top Programming Languages and Their Uses, by Claire D. Costa

Most Viewed – Silver Badge (> 8,000 UPV)

7. Essential Linear Algebra for Data Science and Machine Learning, by Benjamin Obi Tayo
8. Rebuilding My 7 Python Projects, by Kaustubh Gupta (*)
9. Applying Python’s Explode Function to Pandas DataFrames, by Michael Mosesov (*)
10. A checklist to track your Data Science progress, by Pascal Janetzky (*)
11. How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin

Most Shared – Platinum Badge (>1,000 shares)

1. A Guide On How To Become A Data Scientist (Step By Step Approach), by Aditya Agarwal
2. Data Scientist, Data Engineer & Other Data Careers, Explained, by Matthew Mayo

Most Shared – Silver Badge (>300 shares)

3. Essential Linear Algebra for Data Science and Machine Learning, by Benjamin Obi Tayo
4. How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin
5. DeepMind Wants to Reimagine One of the Most Important Algorithms in Machine Learning, by Jesus Rodriguez (*)
6. Top Programming Languages and Their Uses, by Claire D. Costa
7. Vaex: Pandas but 1000x faster, by Ahmad Anis

(*) indicates that badge added or upgraded based on these monthly results.

Most Shareable (Viral) Blogs

Among the top blogs, here are the blogs with the highest ratio of shares/unique views, which suggests that people who read it really liked it.

1. DeepMind Wants to Reimagine One of the Most Important Algorithms in Machine Learning, by Jesus Rodriguez
2. Awesome list of datasets in 100+ categories, by Etienne D. Noumen
3. How to Determine if Your Machine Learning Model is Overtrained, by Charles Martin