🧠 IA_Deep_Learning: Real Problem Solving with Deep Learning

Welcome to IA_Deep_Learning! This repository showcases a project focused on solving real-world problems using deep learning techniques, specifically through a FEED-FORWARD model. Here's what you need to know:

🚀 Project Overview

• Domain: Deep Learning, Artificial Intelligence
• Language: Python
• Frameworks: TensorFlow, Keras
• Purpose: To classify cardiovascular diseases and images using a feed-forward neural network.

🌟 Key Features

• Cardiovascular Disease Classification: Utilizes a feed-forward model to predict the presence of cardiovascular diseases based on patient data.
• Image Classification: Applies the same model architecture to classify images, demonstrating the versatility of feed-forward networks.
• Data Preprocessing: Includes steps for data cleaning, normalization, and feature engineering to prepare datasets for model training.
• Model Evaluation: Provides metrics and visualizations to assess model performance, including accuracy, precision, recall, and F1-score.

🛠️ How to Use

1. Clone the Repository: git clone https://github.com/Ornella-Gigante/IA_Deep_Learning.git

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2. Setup Environment:

• Ensure you have Python installed.
• Install required libraries using pip install -r requirements.txt.

3. Run the Project:

• Navigate to the project directory.
• Execute the main script to train and evaluate the model.

4. Experiment and Modify:

• Adjust the model architecture, hyperparameters, or dataset to explore different scenarios or improve performance.

📚 Learning and Contribution

This project is an excellent resource for:

• Deep Learning: Understand how feed-forward neural networks work and their applications in real-world problems.
• Data Science: Learn about data preprocessing, feature selection, and model evaluation techniques.
• Python Programming: Enhance your Python skills by working with deep learning libraries.

Feel free to:

• Fork the repository and make your own changes or improvements.
• Contribute by submitting pull requests with new features, bug fixes, or enhancements.
• Report Issues if you encounter any problems or have suggestions for the project.

👩‍💻 Author

• Ornella Gigante - Creator and Maintainer

📜 License

This project is open-sourced under the MIT License. You are free to use, modify, and distribute the code as per the license terms.

🌐 Connect

• LinkedIn

Let's tackle real-world problems with the power of deep learning! 🎉