A Coursera course taught by top Kaggle competitors that covers how to approach data science competitions, including feature engineering, model tuning, and ensembling techniques used to rank well on Kaggle.

Commenters call it a great course for learning machine learning as practiced on Kaggle, and one says finishing it puts you ahead of many working data scientists.

What commenters said (1)

1. Recommendsdeepsun2019in “Ask HN: Things You Wish You Knew Before Getting into Machine Learning”

   Mostly Kaggle -- reading others solutions and notebooks and integrating them into mine code.

   Also there's a great Coursera course on ML for Kaggle: https://www.coursera.org/learn/competitive-data-science

   I think once you finish it, you're better than 60% of silicon valley data scientists, no kidding.

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