The main notebook is _project_1_eda_and_model_training.ipynb_. The notebook imports data from _diamonds.csv_, explores the data and sets up three regression models to predict diamond prices.
The second notebook, _project_1_predictions.ipynb_, loads three trained models from the current directory and makes predictions based on a single row of data.
The models are evaluated by comparing root mean square scores.
