🗯 This week

  • I’ve been wrapping up the series on “Building an ETL pipeline from scratch.” It’s a great opportunity to get started if you’re not used to building pipelines. The bonus is that it uses the newest version of Airflow. I hope to finish the blog post in a week or two.
  • After a week of posting tweets on stats regarding successful data science projects, I figured the best is to compile in a (future) blogpost. After seeing so many failed projects, I found it interesting to understand how to tackle common data science problems. If you’re curious, I started tweting about it around here. Here are some example stats: stats
  • Remember to check the most popular Reddit posts this week on data-related boards. 👇

🔮 Data Science

👋 See you next time

Let’s keep in touch, Pedro.

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🔝 Most popular Reddit posts this week

r/DataScience

r/DataEngineering

r/MachineLearning

r/LearnMachineLearning

r/AskStatistics

r/LatestInML

r/MLQuestions