APPLICATION OF SUPERVISED LEARNING
MACHINE LEARNINGHARD QUESTIONS
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Question
[CLICK ON ANY CHOICE TO KNOW THE RIGHT ANSWER]
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Making sense of database
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To discover patterns
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To spot anomalies
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All of these
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Detailed explanation-1: -The main purpose of EDA is to help look at data before making any assumptions. It can help identify obvious errors, as well as better understand patterns within the data, detect outliers or anomalous events, find interesting relations among the variables.
Detailed explanation-2: -What is Exploratory Data Analysis? Exploratory Data Analysis (EDA) is the first step in your data analysis process developed by “John Tukey” in the 1970s. In statistics, exploratory data analysis is an approach to analyzing data sets to summarize their main characteristics, often with visual methods.
Detailed explanation-3: -It helps you gather insights and make better sense of the data, and removes irregularities and unnecessary values from data. Helps you prepare your dataset for analysis. Allows a machine learning model to predict our dataset better. Gives you more accurate results.
Detailed explanation-4: -What is exploratory data analysis? A rigid framework by which we analyze data. An initial way by which we can get a feel for data. A type of purely quantitative method of data analysis. A set of scientific principles for analyzing data in a categorical manner.