Kenya Maize Price Prediction

Data Science · Intermediate · 130 points

Build a machine learning model to predict maize prices in Kenyan markets.

What you'll build

Apply regression techniques to real Kenyan agricultural data.

Your checklist

• Use the provided Kenya maize prices dataset (CSV)
• Perform exploratory data analysis (EDA)
• Clean and preprocess the data
• Build at least 2 regression models
• Compare model performance (RMSE, R²)
• Visualize predictions vs actual prices
• Write conclusions and recommendations

Skills you'll practise

Python, Pandas, Scikit-learn, Matplotlib, regression