How to build a machine learning model in 7 steps

“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”

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