https://github.com/gauravsy704/sct_ds_2
Performed data cleaning and exploratory data analysis (EDA) on the Titanic dataset from Kaggle. Investigated the relationships between variables and identified key patterns and trends in the data using Python, with a focus on survival rates, passenger demographics, and embarkation details.
https://github.com/gauravsy704/sct_ds_2
data-science data-visualization jupyter-notebook pandas python seaborn
Last synced: about 2 months ago
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Performed data cleaning and exploratory data analysis (EDA) on the Titanic dataset from Kaggle. Investigated the relationships between variables and identified key patterns and trends in the data using Python, with a focus on survival rates, passenger demographics, and embarkation details.
- Host: GitHub
- URL: https://github.com/gauravsy704/sct_ds_2
- Owner: gauravsy704
- Created: 2025-10-02T16:17:06.000Z (9 months ago)
- Default Branch: main
- Last Pushed: 2025-10-02T16:28:07.000Z (9 months ago)
- Last Synced: 2025-10-02T18:27:26.514Z (9 months ago)
- Topics: data-science, data-visualization, jupyter-notebook, pandas, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 808 KB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0