Statistical Analysis & Machine Learning Workflow for Property-pricing
The goal of this project is to work on a predictive model, that generates accurate predictions for future, yet-to-be-seen data. This includes pre-processing the data, selecting an approach for identifying optimal tuning parameters, building a model, and estimating predictive performance. This approach protects from overfitting the training data and helps the model to identify truly predictive patterns that are generalizable to future data, and enabling good predictions.
