“Step 1. Understand the business problem (and define success)
Step 2. Understand and identify data
Step 3. Collect and prepare data
Step 4. Determine the model’s features and train it
Step 5. Evaluate the model’s performance and establish benchmarks
Step 6. Put the model in operation and make sure it works well
Step 7. Iterate and adjust the model”