End-to-End Machine Learning Project Steps | Machine Learning | Real-World Use Case
End-to-End Machine Learning Project Steps
Steps,
1. Look at the big picture.
2. Get the data.
3. Discover and visualize the data to gain insights.
4. Prepare the data for Machine Learning algorithms.
5. Select a model and train it.
6. Fine-tune your model.
7. Present your solution.
8. Launch, monitor, and maintain your system.
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