How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
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Make your first Kaggle submission!

The Jupyter notebook goes through the Kaggle Titanic dataset via an exploratory data analysis (EDA) with Python and finishes with making a submission.

If you're interested in hearing the topics covered in the code explained, I went through the notebook in a recent livestream on my YouTube channel:

You can download the data from this repo or directly from Kaggle.

If you find any bugs, or make any improvements on the results in the notebook, I'd love to hear.

Email me anytime:

Stay tuned for a blog post detailing the steps taken in the notebook soon.