In data transformation, what is the primary purpose of standardization?
Standardization is a data transformation technique that resizes the distribution of values to have a mean of 0 and a standard deviation of 1. This approach is beneficial when data has different units or ranges, as it aligns them for fair comparison and analysis. Standardization is commonly used in machine learning algorithms that rely on Gaussian distributions, helping improve model performance by normalizing feature scales. Option A is incorrect as scaling data to a range between 0 and 1 is normalization, not standardization. Option B is incorrect because converting categorical to numerical data is encoding, a separate transformation technique. Option D is incorrect as removing outliers is part of data cleaning, not standardization. Option E is incorrect because standardization does not involve data partitioning for training and testing.
Directions: In each question below, word is used in four different ways. Choose the option in which the usage of the word is INCORRECT or INAPPROPRIA...
Wound
I. A lot of blood has been lost due to the deep wound .
II. It was intended primarily for families with kids...
Select the most appropriate antonym of the given word.
Imperative
Choose the word that roughly means the same as the word highlighted in the sentence.
The committee's decision to fund the project was a...
Select the wrongly spelt word.
Select the most appropriate word for the given group of words.
land covered with grass and other low plants suitable for grazing animals, especia...
Directions: In each question below, word is used in four different ways. Choose the option in which the usage of the word is INCORRECT or INAPPROPRIA...
Select the most appropriate antonym of the given word.
Emancipate
Directions: In each question below, word is used in four different ways. Choose the option in which the usage of the word is INCORRECT or INAPPROPRIA...
One who lends money on high rates of interest