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https://github.com/tralahm/kaggle-titanic-competition
Predicting Titanic Passenger Survival Using Machine Learning
https://github.com/tralahm/kaggle-titanic-competition
data-analysis jupyter-notebook kaggle-competition kaggle-dataset machine-learning matplotlib numpy pandas predictive-modeling python3 sklearn tralahm tralahtek
Last synced: 2 days ago
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Predicting Titanic Passenger Survival Using Machine Learning
- Host: GitHub
- URL: https://github.com/tralahm/kaggle-titanic-competition
- Owner: TralahM
- License: mit
- Created: 2020-01-07T00:20:56.000Z (about 5 years ago)
- Default Branch: master
- Last Pushed: 2020-01-10T19:07:57.000Z (about 5 years ago)
- Last Synced: 2024-11-24T20:54:24.033Z (about 2 months ago)
- Topics: data-analysis, jupyter-notebook, kaggle-competition, kaggle-dataset, machine-learning, matplotlib, numpy, pandas, predictive-modeling, python3, sklearn, tralahm, tralahtek
- Language: Jupyter Notebook
- Homepage: https://www.kaggle.com/c/titanic
- Size: 180 KB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- Contributing: CONTRIBUTING.rst
- Funding: .github/FUNDING.yml
- License: LICENSE
- Code of conduct: CODE_OF_CONDUCT.md
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README
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[![GitHub version](https://badge.fury.io/gh/Naereen%2FStrapDown.js.svg)](https://github.com/TralahM/kaggle-titanic-competition).# kaggle-titanic-competition.
# Description
[![TralahM](https://img.shields.io/badge/Engineer-TralahM-blue.svg?style=for-the-badge)](https://github.com/TralahM)
[![TralahM](https://img.shields.io/badge/Maintainer-TralahM-green.svg?style=for-the-badge)](https://github.com/TralahM)# Documentation
[Read the Docs](https://kaggle-titanic-competition.readthedocs.io)
# Dependencies# How to Install
## Building from Source for Developers
```Bash
git clone https://github.com/TralahM/kaggle-titanic-competition.git
cd kaggle-titanic-competition
```# Contributing
[See the Contributing File](CONTRIBUTING.rst)
[See the Pull Request File](PULL_REQUEST_TEMPLATE.md)# Support
# LICENCE
[Read the license here](LICENSE)# Acknowledgements