YashRevannavar / DrivingBehavior

Predicting driving behavior with machine learning involves using algorithms and statistical models to analyze data of driving pattern.

Driving Behavior Prediction with Machine Learning

This repository contains the code and documentation for a machine learning (ML) algorithm to predict driving behavior using data from vehicles.

Introduction

Road accidents are a major public health concern worldwide, and driver behavior is a significant contributor to these accidents. Traditional approaches to addressing this problem have focused on improving road infrastructure and implementing traffic regulations. However, recent advances in machine learning (ML) and data science provide new opportunities for predicting and mitigating driving behavior. In this project, we present a case study on the development of an ML algorithm to predict driving behavior using data from vehicles.

Requirements

• Python 3.x
• NumPy
• Scipy
• Pandas
• Matplotlib
• Seaborn
• Scikit-learn

Installation

To install the necessary dependencies, run the following command:

pip install -r requirements.txt

Contributing

Contributions are welcome! If you would like to contribute to this project, please fork the repository and create a new branch. Then, submit a pull request with your changes.

LICENSE

MIT License