Author: David
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Comparative Analysis of Non-Parametric Prediction Methods on Retail Dataset
This project serves as the capstone for my Master’s in Data Analytics. It employs a Random Forest Regressor and a K-Nearest Neighbors (KNN) Regressor to predict customer spending based on available features in the dataset. Model performance is evaluated using Mean Absolute Error (MAE) and R-squared (R²) metrics. Additionally, an Analysis of Variance (ANOVA) is…
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Using AI to Support Students in Course Selection and Career Planning
February 4, 2025 Skills leveraged: API Integration | Prompt Engineering | Strategic Planning | User-Centered Design As part of our commitment to improving educational resources, we launched a GPT model to transform how students in our district explore courses and plan their careers. This AI-powered tool integrates directly into our course catalog and specific websites,…