MhiztaDhee/Machine-Learning-for-Agricultural-Prices-in-Nigeria
Domain:
agricultureRecord type:
project
Creator:
Mhi
Host:
# Machine-Learning-for-Agricultural-Prices-in-Nigeria
# Agricultural Price Prediction (Nigeria - WFP Dataset)
# Overview
This project implements machine learning, time-series, and deep learning models for predicting agricultural commodity prices in Nigeria.
## Dataset
World Food Programme (WFP) Nigeria dataset
kaggle.com
## Models Implemented
- Linear Regression
- Random Forest
- ARIMA
- LSTM
## Requirements
- Python 3.x
- pandas
- numpy
- scikit-learn
- statsmodels
- tensorflow / keras
Install dependencies:
pip install -r requirements.txt
## How to Run
1. Open the Jupyter notebook
2. Run all cells sequentially
## Project Structure
- Data preprocessing
- Feature engineering
- Model training
- Evaluation and validation
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