CSC 310 Final Project: Crop Yield Prediction App

Description

This project is a crop yield prediction application developed for CSC 310. It uses machine learning models to predict crop yields based on various input parameters. We used this dataset: https://www.kaggle.com/datasets/patelris/crop-yield-prediction-dataset

Installation

Prerequisites

• Python 3.11.6
• pip

Setup

1. Clone the repository: git clone https://github.com/thourihan/CSC310_Final.git
2. Navigate to the project directory: cd CSC310_Final
3. Install the required dependencies: pip install -r requirements.txt

Running the Application

Open the Jupyter Notebook (Crop_Yield_Prediction_App.ipynb) in your preferred environment and run the cells to see the application in action.