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: https://youtu.be/f1y9wDDxWnA
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: daniel@mrdbourke.com
A full blog post to go along with the video and code is available here.