Spaceship Titanic Rescue Project

Introduction:

Welcome to our Spaceship Titanic Rescue project! In this cosmic endeavor, we aim to predict which passengers were transported to an alternate dimension after the Spaceship Titanic collided with a spacetime anomaly. Join us as we explore the data and develop a robust predictive model to aid in the rescue of lost passengers.

Dataset Focus:

Spaceship Titanic passenger transport prediction

Objective:

Understand data structure, conduct exploratory data analysis (EDA), and build predictive models with hyperparameter tuning and evaluation.

Key Steps:

1. Explore data structure and variables.
2. Perform exploratory data analysis (EDA) to uncover patterns and relationships.
3. Develop and optimize predictive models, such as RandomForestClassifier.
4. Evaluate model performance and refine for accuracy.

Goal:

Create a robust model for predicting which passengers were transported to an alternate dimension, aiding rescue efforts and ensuring their safe return.

Requirements:

pip install -r requirements.txt