This model takes a wine's description and variety as input and predicts the price of the wine.
- Description - The color is a bit murky, but the wine offers sound, solid varietal aromas and plenty of sweet fruit. It's definitely front-loaded, with sweet cherry/berry and a nicely managed finish with a lick of chocolate. It shows the California influence of the winemaker, who is based in Santa Rosa.
- Variety - Pinot Noir
- Price Predicted: 41.068443
- Actual Price : 39.0
- Make sure you have TensorFlow, Pandas, and Jupyter installed
- Also this worked when I installed Tensorflow 1.07
- It gives zero accuracy on Tensorflow 1.12