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NEW QUESTION: 1
In a college, some courses contribute more towards an overall GPA than other courses. For example, a science class is worth 4 points; mathematics is worth 3 points; history is worth 2 points; and English is worth 3 points. The values of the grade letters are as follows, A= 4, B=3, C=2, D=1, F=0. What is the GPA of a student who made a "C" in Trigonometry, a "B" in American History, an "A" in Botany, and a "B" in Microbiology?
A. 2.86
B. 3.33
C. 3.67
D. 3.08
E. 2.59
Answer: D
Explanation:
Explanation/Reference:
Explanation:

NEW QUESTION: 2
For each of the given items, select the appropriate authentication category from the drop down choices.
Select the appropriate authentication type for the following items:

Answer:
Explanation:

Explanation

NEW QUESTION: 3
What action will be taken when an Ethernet switch receives a frame with a known DA and an outer Ethertype value of 0x0800 on a dot1q encapsulated port?
A. The frame will be fragmented and forwarded out the port associated with the DA.
B. The frame will be flooded to all ports.
C. The frame will be discarded.
D. The frame will be forwarded out the port associated with the DA.
Answer: C

NEW QUESTION: 4
x.1、x2、およびx3の機能に対してscikit-learn Pythonライブラリを使用して、機能のスケーリングを実行しています。
元のデータとスケーリングされたデータを次の図に示します。

ドロップダウンメニューを使用して、グラフィックに表示される情報に基づいて各質問に回答する回答選択肢を選択します。
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: StandardScaler
The StandardScaler assumes your data is normally distributed within each feature and will scale them such that the distribution is now centred around 0, with a standard deviation of 1.
Example:
All features are now on the same scale relative to one another.
Box 2: Min Max Scaler
Notice that the skewness of the distribution is maintained but the 3 distributions are brought into the same scale so that they overlap.
Box 3: Normalizer
References:
http://benalexkeen.com/feature-scaling-with-scikit-learn/