This repository contains a Machine Learning project that uses logistic regression to predict the survival of Titanic passengers. The project is implemented in Python and uses Jupyter Notebook for data visualization and analysis.
Titanic_Prediction.ipynb: Jupyter Notebook with the code and analysis.gender_submission.csv: Example submission file with gender predictions.test.csv: Test data for the model.train.csv: Training data for the model.
To use this project, clone the repository and run the Titanic_Prediction.ipynb Jupyter Notebook. Make sure you have the necessary dependencies installed, such as pandas, numpy, and scikit-learn.
If you wish to contribute to the project, please fork the repository, make your changes, and send a pull request with a detailed description of your improvements.
This project is under the MIT license. For more details, refer to the LICENSE file in the repository.
If you have any questions or comments, feel free to open an issue in the repository or contact me directly.
