Data Science Project 8

Beyond prediction, we aim to provide valuable insights into San Francisco’s rental market trends, enabling renters, landlords, and policymakers to make informed decisions in this competitive and dynamic real estate landscape.
We aim to build a predictive model that accurately estimates rental prices. This model will factor in the intricacies of the San Francisco rental market including neighborhood-specific trends and housing characteristics.

• Engineer new features that may enhance, the model’s accuracy.
• Evaluate different models to determine which one perform best.
• Optimize hyperparameters for the chosen regression model to improve predictive accuracy.
• Address ethical concerns related to renal pricing, fairness, and transparency in the model’s deployment.