This project delves into the exploration and analysis of the RandomForest machine learning algorithm. The focus is on understanding its application and performance in predicting outcomes, specifically tailored for the Titanic dataset.
- Data: link : https://www.kaggle.com/competitions/titanic
- Methods: Implements machine learning techniques for survival prediction.
- Parameters: Analyzes features like ticket class, age, and gender to predict survival outcomes.
To replicate the prediction, follow setup instructions, data preprocessing steps, and execute the survival prediction model.
Contributions are welcome following the provided guidelines.
This project is open-source and is licensed under the MIT License which allows for free use, modification, and distribution, even for commercial purposes.