Assignment 2 - Model Creation

This repository contains the second assignment for the Artificial Intelligence 1 course during my Business Analytics master's program.

📊 Objective

• Generate a synthetic dataset using make_moons.
• Split the data into training and testing sets.
• Train and evaluate classification models using scikit-learn.
• Visualize model performance and decision boundaries.
• Analyze model hyperparameters using plots.

📁 Contents

• A2_Group3_Final.ipynb: Jupyter Notebook with the complete model creation workflow.

⚙️ Technologies

• Python
• scikit-learn
• pandas
• matplotlib
• plotly

🚀 How to Run

Open A2_Group3_Final.ipynb in Jupyter Notebook or VSCode and execute the cells in order.