Project Overview

This project involves the use of machine learning and deep learning techniques, utilizing PyTorch and other libraries for data preprocessing, model training, and evaluation.

Key Features

• Deep Learning Framework: PyTorch is used for building and training models.
• Data Handling: Libraries like pandas, numpy, and scipy are used for efficient data manipulation and loading.
• Evaluation Metrics: Scikit-learn is employed for preprocessing and metrics computation, such as F1 score.
• Image Processing: Torchvision transforms are used for preprocessing image data.

Requirements

To run this project, ensure you have Python installed along with the following dependencies:

• PyTorch
• Scikit-learn
• Numpy
• Pandas
• Scipy
• Torchvision

Usage

1. Clone the repository and navigate to the project directory.
2. Install the dependencies using the provided requirements.txt file.
3. Run the Jupyter Notebook to execute the project pipeline.

Acknowledgments

This project demonstrates practical implementations of machine learning techniques in Python.