fjnelima-pixel/agriculture-enterprise-development

This repository contains a simple machine learning project that models the profitability of smallholder fodder enterprises in Kenya. ## Predicting Profitability of Smallholder Fodder Enterprises This repository contains a simple machine learning project that models the profitability of smallholder fodder enterprises in Kenya. It is inspired by real enterprise development challenges faced by dairy value chain actors—including fodder producers, cooperatives, youth entrepreneurs, and SMEs. ## Objectives - Build a synthetic dataset for fodder enterprises - Analyze cost drivers, yield performance, and profit margins - Build a linear regression model to predict enterprise profitability - Generate insights useful for enterprise development practitioners - Export an enterprise viability scorecard ## Tools Used - Python - Pandas - Scikit-Learn - Matplotlib - Google Colab ## Use Cases - Agribusiness advisory - Youth & women enterprise development - Cooperatives support - Value chain development - Project design & data-driven decision-making ## Results - Feature importance ranking - Enterprise viability scoring system - Dataset and outputs included for reuse Author: Faith N. Weyombo - Financial & Data Analyst