Question: Using Python: 1. Create a data set of about 15 to 20 records and three to four features. 2. Load your data into a Dataframe

Using Python:

1. Create a data set of about 15 to 20 records and three to four features.

2. Load your data into a Dataframe Split your data into two tables One with features and one with outcomes (only one column with a binary outcome)

3. Clean your data set (Use a CSV file and it will be easier to clean)

4. Build a model based

5. Use the Predict method to predict a value that is not in your outcomes

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