🛳️ RMS Titanic Machine Learning

📑 Resume of application

Hi, in this code we will predict survived for the tragic accident Titanic. It's a Kaggle competition.

A brief summary the tragic disaster below:

On April 15, 1912, during her maiden voyage, the widely considered “unsinkable” RMS Titanic sank after colliding with an iceberg. Unfortunately, there weren’t enough lifeboats for everyone onboard, resulting in the death of 1502 out of 2224 passengers and crew - available on Kaggle.

Now can you check Colab here and analysis the model predict.

🔎 Getting Started

Can you download the files:

git clone https://github.com/franklaercio/titanic_machine_learning.git

Or clone url on Google Colab:

👪 Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

📈 Versioning

For the versions available, see the tags on this repository.

👨‍💻 Authors

• Frank Laércio - franklaercio

See also the list of contributors who participated in this project.

📋 License

This project is licensed under the MIT License - see the LICENSE.md file for details

📰 Acknowledgments

• Python
• Machine Learning
• Titanic
• Kaggle
• Scikit-learn
• Decision Tree
• Random Forest Regressor