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Top 30 Data Scientists to Follow on GitHub

1. Sebastian Raschka        (Machine Learning, Data Visualization)

2. Randy Olson                  (Python – Data Analysis, Matplotlib, Bokeh)

3. Hilary Mason                (Chief Data Scientists at Bitly)

4. Mike Bostock                (D3, Data Visualisation)

5. Prakhar Srivastav        (Python, Algorithms)

6. Andreas Mueller          (Machine Learning, Python)

7. Wes McKinney             (Author of Python for Data Analysis)

8. Jake Vanderplas          (Machine Learning, Data Visualization)

9. Mathieu Blondel          (Machine Learning, Neural Networks)

10. Gael Varoquaux         (Machine Learning, Statistics, Python)

11. Oliver Grisel                (Machine Learning, Deep Learning)

12. Andrej                          (Deep Learning, Neural Network, SVM)

13. Micheal Nielsen         (Neural Networks, Deep Learning)

14. Heather Arthur          (Neural Network, Javascript)

15. Allen Downey             (Python, Algorithms)

16. Davies Liu                   (Apache Spark, Python)

17. Julia Evans                 (Machine Learning, Python)

18. Jeff L                            (R Programming, Data Analysis)

19. John Myles White     (Julia, Machine Learning)

20. Thomas Wiecki         (Python, Bayesian Analysis)

21. Brian Caffo                  (John Hopkins University)

22. Roger D Peng             (John Hopkins University)

23. Stefan Karpinski       (Julia)

24. Pete Skomoroch        (Machine Learning, Big Data, Python)

25. Mike Dewar               (Python, D3, Javascript)

26. Hadley Wickham     (Statistics, Data Analysis, Data Visualisation)

27. Romain Francois      (R Programming)

28. Justin Palmer           (D3, Data Visualisation)

29. Jason Davies             (D3, Data Visualization)

30. Cameron Davidson Pilon      (Python, Algorithms)

source : https://www.analyticsvidhya.com

One Comment

  1. Çok güzel bir yazı olmuş. Hesaplara tek tek baktım, alanlara göre bölünmesi de epey hoş olmuş. Bir sürü güzel şeyler vardı. Ellerinize sağlık.

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