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Data science is an immensely powerful tool in our data-driven world. Call me idealistic, but I believe this tool should be used for more than getting people to click on ads or spend more time consumed by social media. Not only do we get to improve our data science skills in the most effective manner - through practice on real-world data - but we also get the reward of working on a problem with social benefits. The full code is available as a Jupyter Notebook both on Kaggle (where it can be run in the browser with no downloads required) and on GitHub. This is an active Kaggle competition and a great project to get started with machine learning or to work on some new skills. The Costa Rican Household Poverty Level Prediction challenge is a data science for good machine learning competition currently running on Kaggle.