How do I use pandas with scikit-learn to create Kaggle submissions?
Have you been using scikit-learn for machine learning, and wondering whether pandas could help you to prepare your data and export your predictions? In this video, I'll demonstrate the simplest way to integrate pandas into your machine learning workflow, and will create a submission for Kaggle's Titanic competition in just a few lines of code!
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VIDEO SERIES: Introduction to machine learning with scikit-learn:
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== RESOURCES ==
GitHub repository for the series:
Kaggle's Titanic competition:
"loc" documentation:
"DataFrame" constructor documentation:
"to_csv" documentation:
"to_pickle" documentation:
"read_pickle" documentation:
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