Leveraged house sales data to train three machine learning models—Linear Regression, Decision Trees, and Random Forests—for accurate house price prediction.
Leveraging advanced preprocessing techniques to conduct various analyses tailored to the diversity of the data collected.
Utilized advanced data visualization techniques to analyze key sales metrics, including revenue, orders, and product performance.