Description
BIAM 500 Week 6 iLab
Step 1: Load and Prepare Data
Step 2: Define the Training/Testing and Prediction Data Sets
Step 3: Train and Test Neural Network
Step 4: Predict Classifications for New Customers
Step 5: Write Opinion Paper and Submit
BIAM500 Week 6, Data Mining
Read the end-of-chapter application case “Coors Improves Beer Flavors with Neural Networks” at the end of Chapter 6 in our textbook, and respond to the following questions.
- Why is beer flavor important to Coors’ profitability?
- What is the objective of the neural network used at Coors?
- Why were the results of Coors’ neural network initially poor, and …..to improve the results?
- What benefits might Coors derive if this project is successful?
- What modifications would you make to improve the results of beer flavor prediction?
BIAM 500 week 6
