Titanic spaceship

**Spaceship Titanic – Machine Learning Classification Project**

This project focuses on analyzing the Spaceship Titanic dataset and building a machine learning model to predict whether passengers were transported to another dimension after a spaceship collision anomaly. The dataset contains passenger information such as demographics, travel details, and onboard spending behavior.

The project includes key data science steps such as data cleaning, handling missing values, exploratory data analysis (EDA), feature engineering, and model training. Python libraries including Pandas, NumPy, Matplotlib, and Scikit-learn were used to preprocess the data and develop predictive models.

The final model was evaluated using appropriate performance metrics to ensure reliable predictions. This project demonstrates practical skills in data preprocessing, visualization, and machine learning model development, as well as the ability to work with real-world datasets and extract meaningful insights for decision-making.