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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
CORRECT TEXT
An evidence file can be moved to another directory without changing the file verification.
A. True
B. False
Answer: A

NEW QUESTION: 3
注：この質問は、同じシナリオを提示する一連の質問の一部です。シリーズの各質問には、記載された目標を達成する可能性のある独自のソリューションが含まれています。一部の質問セットには複数の正しい解決策がある場合もあれば、正しい解決策がない場合もあります。
質問に答えた後、その質問に戻ることはできません。その結果、これらの質問はレビュー画面に表示されません。
Dynamics 365のすべての機会にビジネスプロセスフローを使用します。
ビジネスプロセスフローの期間が計算される前に、いくつかの機会が閉じられます。
ビジネスプロセスフロー期間の値が計算されていることを確認する必要があります。
解決策：機会を非アクティブ状態に変更します。
ソリューションは目標を達成していますか？
A. いいえ
B. はい
Answer: A