Scripts

This directory contains utility scripts and automation tools used in the project.

• $\textcolor{#FF4500}{\text{You can easily adapt the repository to work with any dataset of your choice.}}$
• The structure is flexible and can be applied to various machine learning models, including $\textcolor{#1E90FF}{\text{regression, classification, and clustering}}$.

Contents

• Training Scripts: Scripts for training and evaluating machine learning models
• Data Processing: Scripts for data preprocessing and feature engineering
• Model Deployment: Scripts for model deployment and serving
• Utility Functions: Helper scripts and common utilities

Usage

The scripts can be run from the command line or imported as modules. Common usage patterns include:

• Model training and evaluation
• Data preprocessing and transformation
• Batch predictions
• Automation of repetitive tasks

Important Notes

• Keep scripts modular and well-documented
• Include docstrings and type hints
• Add error handling and logging
• Use consistent coding style
• Test scripts thoroughly before deployment
• Document dependencies and requirements