How should you complete the code segment?

HOTSPOT

You are creating a machine learning model in Python. The provided dataset contains several numerical columns and one text column. The text column represents a product’s category.

The product category will always be one of the following:

✑ Bikes

✑ Cars

✑ Vans

✑ Boats

You are building a regression model using the scikit-learn Python package.

You need to transform the text data to be compatible with the scikit-learn Python package.

How should you complete the code segment? To answer, select the appropriate options in the answer area. NOTE: Each correct selection is worth one point.

View Answer

Answer:

Explanation:

Box 1: pandas as df

Pandas takes data (like a CSV or TSV file, or a SQL database) and creates a Python object with rows and columns called data frame that looks very similar to table in a statistical software (think Excel or SPSS for example.

Box 2: transpose[ProductCategoryMapping]

Reshape the data from the pandas Series to columns.

Reference: https://datascienceplus.com/linear-regression-in-python/