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Log transformation is effective for handling skewed numerical data, as it compresses large values and stretches smaller ones, reducing skewness and stabilizing variance. It ensures the data conforms to normality, which many statistical methods and machine learning algorithms assume. Transformations like square root or cube root are alternative options for specific distributions. Why Other Options Are Wrong : B) One-hot encoding is for categorical data, not numerical skewness. C) Normalization rescales data but doesn’t address skewness effectively. D) Replacing outliers addresses extreme values but doesn’t fix overall skewness. E) Removing skewed columns discards valuable information and reduces dataset size.
Which major aerospace company recently collaborated with Indian Railways' Gati Shakti Vishwavidyalaya (GSV) Vadodara to strengthen the Indian aviation s...
Recently RBI has asked which of the following bank to immediately stop transactions under the Liberalised Remittance Scheme (LRS) until further notice?
Veteran sports administrator _________ was unanimously elected as president of the Indian Weightlifting Federation (IWF) for a four-year term.
How much content is available in Teaching Kits within The TeacherApp?
Which of Newton's laws of motion explains the act of removing dust from a carpet by beating it?
By how much did loans to Micro, Small, and Medium Enterprises (MSMEs) grow in the current fiscal year according to RBI data?
Eminent Legendary Guru of _______ Birju Maharaj passed away recently.
Consider the following statement about “Brahmani River".
1. Recently Jharkhand government has enlisted the expertise of IIT Guwahati to condu...
What additional award did Rachel Gupta receive along with the Miss Grand International 2024 title?
Which book is authored by Captain AD Manek?