Supervised Learning

This article explores the factors influencing rental prices in Ghana's real estate market using data sourced from a popular rental website. By analyzing features such as the number of bedrooms, amenities, and property condition, the article provides insights for investors to add value to their properties and helps renters make informed decisions. The analysis employs techniques like Principal Component Analysis (PCA) to visualize the relationships between different features and identify dominant factors affecting rental prices.