Repository files navigation Undertanding Uganda's GDP Using Machine Learning to predict GDP
This project is mainly focused on analyzing the Gross Domestic Product of uganda's Economy for the past years from 2001 to 2025
GDP refers to the starndard measure of value added created from the production of goods and services from a given period of time
Now in this project we'll be exporing these features,analyzing the GDP trend overtime and how each sector contributes the countries economic growth
Data acquisition.Data was acquired the UBOS website,found here https://www.ubos.org/explore-statistics/
Laoding and Cleaning Data
Used Pandas to inspect the data
Visualing Patterns
Used matplotlib to uncover insights
Applying Machine Learning to predict the future GDP values
Used Linear Regression and Random Forest Regressor for machine Learning
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