ShubhamKNIT / AlgoMinds

Machine Learning Project to predict the Air Quality Index

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AlgoMinds

Machine Learning Project to predict the Air Quality Index

Machine Learning Project

Live Model

Certainly experimental model performs better than the Main Model. Checkout these models from the link.

Introduction/Overview

This project aims to develop machine learning models to predict AQI. The models are trained on AQI Dataset dataset and evaluated based on mean_squared_error.

Getting Started

To get started with the project, follow these steps:

  1. Clone the repository:
    git clone https://github.com/ShubhamKNIT/AlgoMinds
    
  2. Install dependencies:
    pip install -r requirements.txt
    
  3. Run the code:
    stremlit run frontend/main.py
    
    or
    stremlit run exp/main.py
    

Project Structure

The project directory is structured as follows:

  • data/: Contains dataset(s) used in the project.
  • models/: Contains machine learning models implemented in the project.
  • images/: Contains results obtained from model training and evaluation.
  • exp/: Contains experimental model which perform certainly better than the model on the main branch

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Machine Learning Project to predict the Air Quality Index


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