https://github.com/riddhis2226/titanic-survival-data-analysis
Titanic-Survival-Data-Analysis : Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.
https://github.com/riddhis2226/titanic-survival-data-analysis
data-analysis data-mining data-science data-visualization database jupyter-notebook machine-learning-models machinelearning-python plotlyjs python3
Last synced: about 2 months ago
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Titanic-Survival-Data-Analysis : Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.
- Host: GitHub
- URL: https://github.com/riddhis2226/titanic-survival-data-analysis
- Owner: Riddhis2226
- License: mit
- Created: 2025-05-29T19:30:40.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-05-31T22:19:25.000Z (about 1 year ago)
- Last Synced: 2025-06-07T15:06:08.557Z (about 1 year ago)
- Topics: data-analysis, data-mining, data-science, data-visualization, database, jupyter-notebook, machine-learning-models, machinelearning-python, plotlyjs, python3
- Language: Jupyter Notebook
- Homepage: http://localhost:8888/notebooks/Titanic%20Survival%20Prediction.ipynb
- Size: 3.22 MB
- Stars: 1
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# Titanic-Survival-Data-Analysis
## 🔹 Summary:
Analyze passenger data from the Titanic to predict survival based on features like age, gender, class, and fare.
## 🔧 Tools & Libraries:
pandas, matplotlib, seaborn, plotly, numpy, jupyter
## 📊 Features:
- Data cleaning & preprocessing
- Exploratory data analysis
- Missing value imputation
- Correlation heatmap, KDE plots
- Interactive charts with Plotly
- Well-formatted summary table
## 📁 Output:
Interactive notebook + dashboard visuals
## 📂 Filename:
http://localhost:8888/notebooks/Titanic%20Survival%20Prediction.ipynb