This project explores the Titanic dataset to predict passenger survival using machine learning. It covers data preprocessing, exploratory data analysis, feature engineering, model selection, and deployment. The predictive model is deployed using Flask and Ngrok, allowing for real-time predictions. The repository includes Jupyter notebooks, Python scripts, and a trained model for replication and further development
-
Notifications
You must be signed in to change notification settings - Fork 0
Jimmymugendi/Titanic-Survival-Prediction-Using-Machine-Learning
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
An advanced machine learning project deploying a model for Titanic passenger survival prediction, including deployment on ngrok for easy access.
Topics
Resources
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published