MhiztaDhee/Machine-Learning-for-Agricultural-Prices-in-Nigeria

# 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