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Best practices for machine learning project | |
Below are the some genric steps every one has to follow while working on any machine learning project. | |
1. Gathering data | |
2. Preparing that data | |
3. Choosing a model | |
4. Training | |
5. Evaluation | |
6. Hyperparameter tuning | |
7. Prediction. | |
This are the simple steps everyone and each machine lerning project has to follow. |
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thats really helpful; can you send book/paper reference of these steps?