Titanic_Rescue_Prediction and Titanic-Machine-Learning

Maintenance 0/25
Adoption 9/25
Maturity 8/25
Community 14/25
Maintenance 0/25
Adoption 5/25
Maturity 8/25
Community 16/25
Stars: 73
Forks: 10
Downloads:
Commits (30d): 0
Language: Jupyter Notebook
License:
Stars: 10
Forks: 6
Downloads:
Commits (30d): 0
Language: Python
License:
No License Stale 6m No Package No Dependents
No License Stale 6m No Package No Dependents

About Titanic_Rescue_Prediction

zmzhouXJTU/Titanic_Rescue_Prediction

Kaggle入门级机器学习项目:泰坦尼克号生存预测

This project helps anyone interested in historical data analysis understand which factors contributed to a person's survival during the Titanic disaster. By analyzing passenger attributes like age, gender, and class, it identifies patterns and predicts survival outcomes. The input is raw passenger data, and the output is a prediction of whether a specific passenger would have survived.

historical-data-analysis maritime-history survival-prediction social-stratification data-storytelling

About Titanic-Machine-Learning

DanielGunna/Titanic-Machine-Learning

Applying Machine Learning Algorithms to the Kaggle "Titanic Survival Prediction Problem".

This project helps data enthusiasts and aspiring data scientists practice applying machine learning to real-world datasets. It takes historical passenger data from the Titanic and uses it to predict individual survival outcomes. The output is a set of predictions indicating who survived the disaster, which can be compared against actual results for learning and evaluation.

predictive-modeling data-analysis-practice machine-learning-training survival-prediction historical-data-analysis

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