The project's name: Titanic ML with random forest
Creator: Daniil Khmelnytskyi
About the project:
This project predicts will people stay alive or not using one of the machine learning algorithms - random forest.
Results:
Primary analyze showed that only 18.89% of men had been rescued, meanwhile 74.20% of women had been rescued.
Random forest has showed quite great results.
Accuracy of trained model is 97.12%.
Getting started:
If you want to download this project, you might use git or download the project as an archive straight from GitHub.
Dependencies: Some modules were used in this project, so you need to be sure that you have installed ones:
- numpy
- pandas
- sklearn.ensemble
Created with:
- Visual Studio Code
- Kaggle