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rasmodev/Staple-Food-and-Fuel-Price-Prediction-in-Africa

Domain:

agriculturesocioeconomic

Record type:

project
Creator:
ras
Host:
This project focuses on predicting and analyzing the trends of staple food and fuel prices across Africa using machine learning techniques. The goal is to understand the impact of various economic factors on price fluctuations and to forecast future price trends to support effective decision-making and policy interventions. # Predictive Analysis and Forecasting of Staple Food and Fuel Prices Across Africa ## Overview This project focuses on predicting and analyzing the trends of staple food and fuel prices across Africa using machine learning techniques. The goal is to understand the impact of various economic factors on price fluctuations and to forecast future price trends to support effective decision-making and policy interventions. ## Project Goals 1. **Understand Price Dynamics**: Explore the factors influencing the price of staple foods and fuels across multiple African countries. 2. **Predict Future Prices**: Build and evaluate predictive models to forecast future price trends with high accuracy. 3. **Support Policy Making**: Provide insights that can inform policy decisions and strategies to address economic challenges related to food and fuel prices. ## Dataset The dataset used in this project comes from the Famine Early Warning Systems Network (FEWS NET) and includes historical price data for staple foods and fuels. Key features in the dataset include: | Column | Description | |-------------------|---------------------------------------------------| | `country` | Country where the data was collected. | | `market` | Specific market or city within the country where the product's price was recorded. | | `admin_1` | Administrative region or province within the country. | | `longitude` | Longitude coordinate (geographical coordinate indicating the east-west position) of the location where the price was recorded. | | `latitude` | Latitude coordinate (geographical coordinate indicating the north-south position) of the location where the price was recorded. | | `cpcv2` | Product code associated with the item being priced. | | `product` | Name of the product or commodity (staple foo …

Visit

github.com

Tags

food-price-predictionfuel-price-predictiontime-series-analysistime-series-forecasting

Licenses

MIT

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