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NEW QUESTION: 1
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:
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/
NEW QUESTION: 2
Which protocol is used between VSAP and the VSC?
A. XMPP
B. OpenFlow
C. BGP and OSPF or ISIS
D. SNMP
Answer: D
Explanation:
Explanation/Reference:
NEW QUESTION: 3
Mark, the GL accountant, asks you whether he can use the constant (C) segment type with the parent segment values while defining the MassAllocation formula. What would be your response?
A. Whether you can do this depends on the responsibility.
B. You can customize the workflow and then do this.
C. Whether you can do this depends on the formula.
D. You can do this only if there is a summary account associated with the parent.
E. You can do this only if Allow Dynamic Insert is enabled.
Answer: D