Top March Stories: Are You Still Using Pandas to Process Big Data in 2021? Here are two better options; How To Overcome The Fear of Math and Learn Math For Data Science

In March, KDnuggets reached an amazing milestone of over one million unique monthly visitors, thanks in large part to the very popular platinum posts below. For the first time, all the top viewed blogs below are receiving new or better badges based on the monthly results.

Most Viewed - Platinum Badge (>36,000 UPV)

1. Are You Still Using Pandas to Process Big Data in 2021? Here are two better options, by Roman Orac
2. How To Overcome The Fear of Math and Learn Math For Data Science, by Arnuld On Data
3. Top YouTube Channels for Data Science, by Matthew Mayo
4. More Data Science Cheatsheets, by Matthew Mayo
5. Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
6. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida

Most Viewed - Gold Badge (>18,000 UPV)

7. 3 Mathematical Laws Data Scientists Need To Know, by Cornellius Yudha Wijaya
8. Google's Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks, by Jesus Rodriguez
9. Know your data much faster with the new Sweetviz Python library, by Francois Bertrand

Most Viewed - Silver Badge (> 9,000 UPV)

10. Must Know for Data Scientists and Data Analysts: Causal Design Patterns, by Emily Riederer
11. The Portfolio Guide for Data Science Beginners, by Navid Mashinchi
12. 9 Skills You Need to Become a Data Engineer, by Dorian Martin
13. 4 Machine Learning Concepts I Wish I Knew When I Built My First Model, by Terence Shin
14. The Ultimate Guide to Acing Coding Interviews for Data Scientists, by Emma Ding & Rob Wang
15. The Best Machine Learning Frameworks & Extensions for Scikit-learn, by Derrick Mwiti

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Most Shared - Gold Badge (>500 shares)

1. How To Overcome The Fear of Math and Learn Math For Data Science, by Arnuld On Data
2. Top YouTube Channels for Data Science, by Matthew Mayo
3. Are You Still Using Pandas to Process Big Data in 2021? Here are two better options, by Roman Orac
4. More Data Science Cheatsheets, by Matthew Mayo
5. How to Succeed in Becoming a Freelance Data Scientist, by Devin Partida
6. Top 10 Python Libraries Data Scientists should know in 2021, by Terence Shin
7. 3 Mathematical Laws Data Scientists Need To Know, by Cornellius Yudha Wijaya
8. A Machine Learning Model Monitoring Checklist: 7 Things to Track, by Dral & Samuylova (*)

Most Shared - Silver Badge (>300 shares)

9. Google's Model Search is a New Open Source Framework that Uses Neural Networks to Build Neural Networks, by Jesus Rodriguez
10. Must Know for Data Scientists and Data Analysts: Causal Design Patterns, by Emily Riederer

(*) 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. A Machine Learning Model Monitoring Checklist: 7 Things to Track, by Dral & Samuylova
2. 10 Amazing Machine Learning Projects of 2020, by Anupam Chugh
3. Top YouTube Machine Learning Channels, by Matthew Mayo
4. Data Validation and Data Verification — From Dictionary to Machine Learning, by Aggarwal & Bose
5. 15 Habits I Learned from Highly Effective Data Scientists, by Madison Hunter
6. AI in Dating: Can Algorithms Help You Find Love?, by Yuliya Sychikova