House Price Prediction (project) - supervised ML model training
Implemented a house price prediction machine learning project using supervised learning concepts. The process involved transforming tabular data, fitting predictive models, and evaluating model behavior against training examples. While focused on prediction rather than manual labeling, the training relied on datasets with target values. • Explored supervised learning approaches for regression/classification • Implemented supervised learning algorithms on prepared datasets • Analyzed data to understand relationships • Used visualizations to support modeling decisions