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https://github.com/omarmdiab/titanic-ml_project
A kaggle competition to use ML to create a model that predicts which passengers survived the Titanic shipwreck.
https://github.com/omarmdiab/titanic-ml_project
Last synced: about 2 months ago
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A kaggle competition to use ML to create a model that predicts which passengers survived the Titanic shipwreck.
- Host: GitHub
- URL: https://github.com/omarmdiab/titanic-ml_project
- Owner: OmarMDiab
- Created: 2023-12-15T14:46:48.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2024-01-01T15:41:32.000Z (about 1 year ago)
- Last Synced: 2024-01-06T03:19:42.215Z (about 1 year ago)
- Language: Jupyter Notebook
- Size: 5.52 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# Titanic - ML from Disaster!
This repository contains code and resources for the "Titanic - Machine Learning from Disaster" competition on Kaggle. The goal of this project is to predict whether a passenger survived or not based on the Titanic dataset.
## Dataset
The data has been split into two groups:
- training set (train.csv)
- test set (test.csv)
You can get them from the repository or just download them from the [Competition Link](https://www.kaggle.com/competitions/titanic)
## Run Locally
Step-by-step guide
### Clone the project
```bash
git clone https://github.com/OmarMDiab/Titanic-ML_Project.git
```
### Navigate to the project directory (folder)
```bash
cd "your_dir_path"
```
### Install required libraries
```bash
pip install -r requirements.txt
```
Requirements.txt: contains all the required libraries that you will need to run our project
## Install the Jupyter Extension (For VSCode users):
Open VSCode, go to the Extensions view (Ctrl+Shift+X), and search for **Jupyter**.
Install the "Jupyter" extension provided by Microsoft.
Now you can run the project ^^
# Authors
- [@Kerolos Noshy](https://github.com/Kerolos-Noshy)
- [@Anas Zikry](https://github.com/anass-zikry)
- [@Omar Diab](https://github.com/OmarMDiab)