Nuts & Bolts of Machine Learning

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Steps in Solving Data Science Problems

1. Get the Data

2. Understand the Data

3. Understand the Problem

3. Pre-process the Data

4. Model Building: Baseline Selection

5. Model Architecture

6. Hyperparameter Search

7. Check for Overfitting

8. Testing on Unseen Data

9. Deploy the Model