This repository contains a Jupyter notebook named "spaceship-titanic.ipynb". This notebook analyzes the Titanic dataset using machine learning techniques.
The dataset used in this notebook is the famous Titanic dataset, which describes information about passengers and crew on the Titanic, including name, age, gender, social class, etc.
Linear regression: Predicts the survival rate based on independent variables such as age, gender, and social class.
Decision tree: Classifies passengers into survivors and non-survivors based on independent variables.
The notebook presents the results of analyzing the Titanic dataset using machine learning methods, including:
Accuracy of the models
Importance of independent variables
Factors affecting the survival rate
To use this notebook, you need to install Python and Jupyter Notebook. Then, you can download the notebook from this repo and run it in Jupyter Notebook.
This notebook is for research and learning purposes only.
Titanic dataset: https://www.kaggle.com/c/titanic
Machine learning: https://developers.google.com/machine-learning/
Jupyter Notebook: https://jupyter.org/
If you have any questions about this repo, please contact [repo author name] ([repo author email]).
This repository is licensed under the MIT license.