Ecosyste.ms: Awesome
An open API service indexing awesome lists of open source software.
https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
classification data-analysis data-science eda exploratory-data-analysis machine-learning matplo matplotlib-pyplot ml model numpy pandas predictive-modeling python seaborn
Last synced: 9 days ago
JSON representation
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.
- Host: GitHub
- URL: https://github.com/badranalyst/titanic-survival-prediction-full-data-science-project-classification
- Owner: BadrAnalyst
- Created: 2024-12-26T11:51:57.000Z (13 days ago)
- Default Branch: main
- Last Pushed: 2024-12-26T11:52:51.000Z (13 days ago)
- Last Synced: 2024-12-26T12:27:44.650Z (13 days ago)
- Topics: classification, data-analysis, data-science, eda, exploratory-data-analysis, machine-learning, matplo, matplotlib-pyplot, ml, model, numpy, pandas, predictive-modeling, python, seaborn
- Language: Jupyter Notebook
- Homepage:
- Size: 0 Bytes
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Titanic-Survival-Prediction-Full-Data-Science-Project-Classification
This project predicts Titanic survivors using classification models. It includes data cleaning, pre-processing, exploratory data analysis (EDA), categorical feature conversion, model building, and evaluation. Python libraries like Pandas, NumPy, Matplotlib, and Seaborn are used to analyze and predict survival outcomes.