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If all python code can be displayed, that would be highly appreciated. Thanks! 1. Load the digits dataset from sklearn.datasets 2. Print the shape of

If all python code can be displayed, that would be highly appreciated. Thanks!

1. Load the digits dataset from sklearn.datasets

2. Print the shape of the data.

3. How many missing values are there?

4. What are the class values?

5. What is the distribution of class values (samples per class)?

6. Split the data into training and testing.

7. Create a logistic regression model with appropriate parameters.

8. Print the training and test scores.

9. Retrain the model with just one iteration.

10. Print the training and test scores with the model trained with 1 iteration.

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