Here are the most popular posts in KDnuggets in April.

Most Viewed - Platinum Badge (>20,000 UPV)

1. Mathematics for Machine Learning: The Free eBook, by Matthew Mayo (*)

Most Viewed - Gold Badge (>10,000 UPV)

2. The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks, by Matthew Mayo

Most Viewed - Silver Badge (> 5,000 UPV)

3. Five Cool Python Libraries for Data Science, by Dhilip Subramanian
4. How to Do Hyperparameter Tuning on Any Python Script in 3 Easy Steps, by Jakub Czakon
5. Stop Hurting Your Pandas!, by Pawel Rzeszucinski (*)
6. Can Java Be Used for Machine Learning and Data Science?, by Malcom Ridgers
7. Best Free Epidemiology Courses for Data Scientists, by Matthew Mayo (*)
8. Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition, by Matthew Mayo
9. A Concise Course in Statistical Inference: The Free eBook, by Matthew Mayo (*)
10. Python for data analysis... is it really that simple?!?, by Ferenc Bodon (*)

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Most Shared - Platinum Badge (>1000 UPV)

1. Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs, by Limarc Ambalina

Most Shared - Gold Badge (>500 shares)

2. Free High-Quality Machine Learning & Data Science Books & Courses: Quarantine Edition, by Matthew Mayo

Most Shared - Silver Badge (>250 shares)

3. 10 Must-read Machine Learning Articles (March 2020), by Limarc Ambalina
4. Mathematics for Machine Learning: The Free eBook, by Matthew Mayo
5. 5 Papers on CNNs Every Data Scientist Should Read, by Limarc Ambalina (*)
6. Should Data Scientists Model COVID19 and other Biological Events, by Asel Mendis
7. The Super Duper NLP Repo: 100 Ready-to-Run Colab Notebooks, by Matthew Mayo
8. Best Free Epidemiology Courses for Data Scientists, by Matthew Mayo
9. Top KDnuggets tweets, Apr 01-07: How to change global policy on #coronavirus, by Gregory Piatetsky (*)
10. How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals, by Kevin Vu

(*) 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. Introducing MIDAS: A New Baseline for Anomaly Detection in Graphs, by Limarc Ambalina
2. Visualizing Decision Trees with Python (Scikit-learn, Graphviz, Matplotlib), by Michael Galarnyk
3. 5 Papers on CNNs Every Data Scientist Should Read, by Limarc Ambalina
4. Should Data Scientists Model COVID19 and other Biological Events, by Asel Mendis
5. How Deep Learning is Accelerating Drug Discovery in Pharmaceuticals, by Kevin Vu