🚢 Titanic Survival Prediction ML Project

• Predict whether a passenger survived the Titanic disaster using machine learning!

• This project demonstrates a complete end-to-end ML pipeline — from raw dataset to interactive web application.

📝 Project Description

This project uses passenger features such as Pclass, Sex, Age, SibSp, Parch, Fare, and Embarked to predict survival on the Titanic. The pipeline includes:

• Data cleaning & preprocessing (handle missing values, encode categorical features, scale numeric features)

•  Logistic Regression model training

• Model evaluation using Accuracy, Precision, Recall, and F1-score

•  Batch predictions on unseen test data

• Real-time predictions through an interactive Streamlit web app
  
  

🛠️ Tools & Libraries

• Python 3.x

• Pandas, numpy – Data handling

• Scikit-learn – Preprocessing, modeling & evaluation

• Joblib – Save & load models

• Streamlit – Interactive UI

For Source code: