Top Stories, Dec 13-19: Write Clean Python Code Using Pipes

Also: 5 Key Skills Needed To Become a Great Data Scientist; A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment; The 5 Characteristics of a Successful Data Scientist; Top Resources for Learning Statistics for Data Science



Most Popular Last Week

  1. Write Clean Python Code Using PipesWrite Clean Python Code Using Pipes, by Khuyen Tran
  2. 5 Key Skills Needed To Become a Great Data Scientist, by Sharan Kumar Ravindran
  3. A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment, by Graham Harrison
  4. The 5 Characteristics of a Successful Data Scientist, by Matthew Mayo
  5. Top Resources for Learning Statistics for Data Science, by Springboard

Most Popular Tweets Last Week

  1. 90+ #MachineLearning Algorithms explained, with #Python examples
  2. A #DataScience Portfolio That Will Land You The Job #KDN
  3. We Don’t Need #DataScientists, We Need Data Engineers #KDN
  4. A Full End-to-End Deployment of a #MachineLearning Algorithm into a Live Production Environment - KDnuggets
  5. Stop Using The Term #DataEngineer, there are 5 better terms to describe this role

Most Popular Past 30 Days

  1. Write Clean Python Code Using Pipes, by Khuyen Tran
  2. Why Machine Learning Engineers are Replacing Data Scientists, by Arthur Mello
  3. Building a solid data team, by Romain Huet
  4. How to Get Certified as a Data Scientist, by Abid Ali Awan
  5. 5 Practical Data Science Projects That Will Help You Solve Real Business Problems for 2022, by Terence Shin
  6. 19 Data Science Project Ideas for Beginners, by Zulie Rane
  7. Most Common SQL Mistakes on Data Science Interviews, by Nate Rosidi
  8. 5 Key Skills Needed To Become a Great Data Scientist, by Sharan Kumar Ravindran
  9. A Full End-to-End Deployment of a Machine Learning Algorithm into a Live Production Environment, by Graham Harrison
  10. A $9B AI Failure, Examined, by Gianluca Mauro