This repository contains three files that are essential for the project and are part of session 5 assignment. Each file serves a specific purpose and is described below:
-
S5.ipynb
- Description: This file, "S5.ipynb," contains the main code for the project. It serves as the entry point and contains the implementation of the core functionalities. It includes algorithms, data processing steps, and visualization code necessary for the project.
-
model.py
- Description: It includes the implementation of the deep learning model used in the project. This file defines the architecture, training, and evaluation of the model.
-
utils.py
- Description: The file named "utils.py" contains helper functions and utility code used in the project.
To make use of these files, follow these steps:
- Clone the repository to your local machine using the command:
git clone <repository URL> - Access the files and explore their contents.
- Open "S5.ipynb" in a Jupyter Notebook or any compatible environment to execute the main project code.
- Modify "model.py" to customize the model architecture, training process, or any other relevant settings as required.
- Utilize the functions defined in "utils.py" to perform data preprocessing, feature engineering, or any other necessary tasks.
Contributions to this repository are welcome.