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https://github.com/broodhoney/titanic-ml-from-disaster
This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
https://github.com/broodhoney/titanic-ml-from-disaster
machine-learning numpy pandas python scikit-learn scikitlearn-machine-learning
Last synced: about 19 hours ago
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This repository contains my analysis and solutions for the Titanic: Machine Learning from Disaster competition on Kaggle. The notebook explores the dataset, performs extensive Exploratory Data Analysis (EDA), applies feature engineering techniques, and builds predictive models to determine survival outcomes based on passenger data
- Host: GitHub
- URL: https://github.com/broodhoney/titanic-ml-from-disaster
- Owner: BROODHONEY
- Created: 2025-01-21T14:00:27.000Z (13 days ago)
- Default Branch: main
- Last Pushed: 2025-02-02T12:39:40.000Z (1 day ago)
- Last Synced: 2025-02-02T13:35:48.238Z (1 day ago)
- Topics: machine-learning, numpy, pandas, python, scikit-learn, scikitlearn-machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 558 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md