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Top Stories, Jun 3-9: 7 Steps to Mastering Intermediate Machine Learning with Python 2019 Edition; How to choose a visualization


A Step-by-Step Guide to Transitioning your Career to Data Science Part 1; Math for Programmers; PyViz: Simplifying the Data Visualisation Process in Python



Most Popular Last Week

  1. new 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition, by Matthew Mayo
  2. new A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1, by Manu Jeevan
  3. new How to choose a visualization
  4. new Math for Programmers
  5. new PyViz: Simplifying the Data Visualisation Process in Python
  6. new Random Forest vs Neural Network: Which is Better, and When?
  7. new Top 10 Statistics Mistakes Made by Data Scientists

Most Shared Last Week

  1. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition, by Matthew Mayo - Jun 03, 2019.
  2. Jupyter Notebooks: Data Science Reporting, by Asel Mendis - Jun 06, 2019.
  3. Top 10 Statistics Mistakes Made by Data Scientists - Jun 07, 2019.
  4. Random Forest vs Neural Network: Which is Better, and When? - Jun 07, 2019.
  5. How to choose a visualization - Jun 04, 2019.
  6. PyViz: Simplifying the Data Visualisation Process in Python - Jun 06, 2019.
  7. The Whole Data Science World in Your Hands - Jun 05, 2019.

Most Popular Past 30 Days

  1. new A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1
  2. new 7 Steps to Mastering SQL for Data Science — 2019 Edition
  3. increase How (not) to use Machine Learning for time series forecasting: Avoiding the pitfalls
  4. decrease The 3 Biggest Mistakes on Learning Data Science
  5. new 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition
  6. decrease The Third Wave Data Scientist
  7. decrease The most desired skill in data science

Most Shared Past 30 Days

  1. 7 Steps to Mastering SQL for Data Science — 2019 Edition - May 17, 2019.
  2. Python leads the 11 top Data Science, Machine Learning platforms: Trends and Analysis - May 30, 2019.
  3. A Step-by-Step Guide to Transitioning your Career to Data Science — Part 1 - May 31, 2019.
  4. 7 Steps to Mastering Intermediate Machine Learning with Python — 2019 Edition - Jun 03, 2019.
  5. Jupyter Notebooks: Data Science Reporting - Jun 06, 2019.
  6. The Data Fabric for Machine Learning — Part 1 - May 21, 2019.
  7. Machine Learning in Agriculture: Applications and Techniques - May 14, 2019.

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