Housing Prices Prediction in Buenos Aires, Argentina
In this project, learned about data wrangling and visualization skills and move from descriptive to predictive data science. The focus is real estate, and created a machine learning model that predicts apartment prices in Buenos Aires, Argentina.
- Created a linear regression model using the scikit-learn library.
- Built a data pipeline for imputing missing values and encoding categorical features.
- Improved model performance by reducing overfitting.
- Created a dynamic dashboard for interacting with completed model.
