דסבת

Discuss, Learn and be Happy דיון בשאלות

• «
• 1
• 2
• ...
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• ...
• 36
• 37
• »

Dummy Encoding is similar to One-Hot Encoding but creates one less binary column to avoid multicollinearity in linear models.

-

1

+

שאלה #132061

done		True
		False

נערך לפני 6 חודשים Shachar Adam

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

What is the main difference between Label Encoding and One-Hot Encoding?

-

1

+

שאלה #132062

		There is no difference between Label Encoding and One-Hot Encoding.
		Label Encoding is suitable for nominal variables, while One-Hot Encoding is suitable for ordinal variables.
		Label Encoding converts categorical values into binary columns, while One-Hot Encoding assigns numerical labels to each category.
done		Label Encoding assigns a unique numerical label to each category, while One-Hot Encoding creates separate binary columns for each category.

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

How does Dummy Encoding differ from One-Hot Encoding?

-

1

+

שאלה #132063

		Dummy Encoding creates one less binary column than One-Hot Encoding.
done		Dummy Encoding avoids multicollinearity by creating one less binary column than One-Hot Encoding.
		Dummy Encoding assigns numerical labels to categories, while One-Hot Encoding creates separate binary columns.
		There is no difference between Dummy Encoding and One-Hot Encoding.

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

When should you use Label Encoding instead of One-Hot Encoding?

-

1

+

שאלה #132064

done		When dealing with ordinal categorical variables.
		When there are fewer unique categories in the dataset.
		When multicollinearity is a concern in linear models.
		When you want to avoid creating additional binary columns.

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

The approach to analyzing Time-Series data depends significantly on:

-

1

+

שאלה #132066

		The size of the dataset
		The type of visualization tools available
done		The specific characteristics of the data
		The number of features extracted

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

Which of the following time series features is used to measure the average value over a specified window of time?

-

1

+

שאלה #132067

sentiment_very_satisfied		Moving average
		Standard deviation
		Median
		Fourier Transform

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

Which time series feature is useful for detecting sudden changes or anomalies in the data?

-

1

+

שאלה #132068

		Number of outliers
		Standard deviation
		Moving average
done		Change points

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

Which feature transformation technique is commonly used to analyze the frequency components of a time series?

-

1

+

שאלה #132069

		Min/max values
done		Fourier Transform

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

What is the purpose of choosing features with the most significant p-values?

-

1

+

שאלה #132072

		To increase model complexity
done		To select features that have a strong relationship with the target variable
		To introduce noise into the dataset

נערך לפני 6 חודשים Shachar Adam

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

Feature selection methods include Univariate testing, Correlation between feature and class labels, Choose K features with most significant p values

-

1

+

שאלה #132073

done		True
		False

• gavel
• mood_bad
• share

הגב

מיין לפי דירוג חדש ישן

• «
• 1
• 2
• ...
• 10
• 11
• 12
• 13
• 14
• 15
• 16
• ...
• 36
• 37
• »