https://github.com/mrdbourke/your-first-kaggle-submission

How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.
https://github.com/mrdbourke/your-first-kaggle-submission

Last synced: 6 months ago
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How to perform an exploratory data analysis on the Kaggle Titanic dataset and make a submission to the leaderboard.

• Host: GitHub
• URL: https://github.com/mrdbourke/your-first-kaggle-submission
• Owner: mrdbourke
• Created: 2018-12-02T05:54:31.000Z (almost 7 years ago)
• Default Branch: master
• Last Pushed: 2024-06-28T12:25:41.000Z (over 1 year ago)
• Last Synced: 2025-03-30T01:12:39.824Z (6 months ago)
• Language: Jupyter Notebook
• Size: 1.32 MB
• Stars: 222
• Watchers: 14
• Forks: 148
• Open Issues: 2
• Metadata Files:
  • Readme: README.md

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README

          
# 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: https://youtu.be/f1y9wDDxWnA

You can download the data from this repo or [directly from Kaggle](https://www.kaggle.com/c/titanic).

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](https://towardsdatascience.com/a-gentle-introduction-to-exploratory-data-analysis-f11d843b8184).