https://github.com/oriolventur/assignment-2-model-creation
Assignment 2 from Artificial Intelligence 1 course: Model creation using synthetic data and scikit-learn.
https://github.com/oriolventur/assignment-2-model-creation
jupyter-notebook model-creation python scikit-learn
Last synced: about 2 months ago
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Assignment 2 from Artificial Intelligence 1 course: Model creation using synthetic data and scikit-learn.
- Host: GitHub
- URL: https://github.com/oriolventur/assignment-2-model-creation
- Owner: oriolventur
- Created: 2025-06-03T17:06:11.000Z (about 1 year ago)
- Default Branch: main
- Last Pushed: 2025-06-03T17:23:15.000Z (about 1 year ago)
- Last Synced: 2025-10-21T08:01:56.598Z (8 months ago)
- Topics: jupyter-notebook, model-creation, python, scikit-learn
- Language: Jupyter Notebook
- Homepage:
- Size: 1.5 MB
- Stars: 0
- Watchers: 0
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# 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.