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NEW QUESTION: 1
A. Option D
B. Option C
C. Option B
D. Option A
Answer: B
NEW QUESTION: 2
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/
NEW QUESTION: 3
HyperFlex virtual servers differ from regular servers in which two key areas? (Choose two.)
A. CCC: Cisco Cloud Center is used for multi-cloud integration and seamless deployment.
B. SP: UCS Service Profiles are used to delineate MAC address pools from upstream networks.
C. No RAID is required to consolidate disks into a shared data platform.
D. NVMe: Regular servers do not support NVMe drives for high availability.
E. CVM: Virtual appliance, which performs reading/writing, caching, deduplication, and compression.
Answer: C,E
Explanation: