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.
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/
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