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NEW QUESTION: 1

Is ?
(1) 3x = 6y

(2)
A. The problem can be solved using EITHER statement (1) only or statement (2) only.
B. The problem can be solved using statement (1) and statement (2) TOGETHER, but not ONLY statement (1) or statement (2).
C. The problem CANNOT be solved using statement (1) and statement (2) TOGETHER.
D. Statement (1), BY ITSELF, will suffice to solve the problem, but NOT statement (2) by itself.
E. Statement (2), BY ITSELF, will suffice to solve the problem, but NOT statement (1) by itself.
Answer: A
Explanation:
Explanation/Reference:
Explanation:

Divide both sides of the equation in statement (1) by 3y. This results in the proportion . Since


, . Therefore, the answer to the original question would be yes. Statement (2) tells you that x/y is greater than 1; therefore, it must be an improper fraction. y/x would then be a proper fraction making it less than x/y. Either statement is sufficient.

NEW QUESTION: 2
What URL should you use on an iOS device to access a WebDAV-enabled share point that is hosted by OS X Server on a Mavericks computer located at server.pretendco.com?
A. http://webdav.server.pretendco.com
B. http://server.pretendco.com
C. webdav://server.pretendco.com
D. afp://server.pretendco.com/webdav
Answer: B

NEW QUESTION: 3
Pythonで機械学習モデルを作成しています。 提供されたデータセットには、いくつかの数値列と1つのテキスト列が含まれています。 テキスト列は、製品のカテゴリを表します。 製品カテゴリは常に次のいずれかになります。
*自転車
* 車
* バン
*ボート
scikit-learn Pythonパッケージを使用して回帰モデルを構築しています。
scikit-learn Pythonパッケージと互換性があるようにテキストデータを変換する必要があります。
コードセグメントをどのように完成させる必要がありますか？ 回答するには、回答エリアで適切なオプションを選択します。
注：それぞれの正しい選択には1ポイントの価値があります。

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/