toannguyenkhanh / spaceship-titanic

"Spaceship Titanic" repository on Kaggle: Exploring Titanic dataset with data analysis and machine learning to understand passenger demographics and survival rates.

Introduction:

This repository contains a Jupyter notebook named "spaceship-titanic.ipynb". This notebook analyzes the Titanic dataset using machine learning techniques.

Dataset:

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.

Methods:

The notebook uses the following machine learning methods:

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.

Results:

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

Instructions:

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.

Note:

This notebook is for research and learning purposes only.

References:

Titanic dataset: https://www.kaggle.com/c/titanic
Machine learning: https://developers.google.com/machine-learning/
Jupyter Notebook: https://jupyter.org/

Contact:

If you have any questions about this repo, please contact [repo author name] ([repo author email]).

License:

This repository is licensed under the MIT license.