Data Preprocessing Techniques
Description: This quiz covers various data preprocessing techniques used in data analysis and machine learning. | |
Number of Questions: 15 | |
Created by: Aliensbrain Bot | |
Tags: data preprocessing data cleaning data transformation data normalization |
What is the process of removing duplicate data points from a dataset called?
Which data preprocessing technique involves replacing missing values with estimated or imputed values?
What is the process of converting categorical data into numerical data called?
Which data preprocessing technique involves scaling numerical data to a common range?
What is the process of dividing a continuous numerical variable into a set of discrete intervals called?
Which data preprocessing technique involves creating new features from existing features?
What is the process of adding synthetic data points to a dataset called?
Which data preprocessing technique involves identifying and removing outliers from a dataset?
What is the process of converting a non-linear relationship between variables into a linear relationship called?
Which data preprocessing technique involves removing redundant or irrelevant features from a dataset?
What is the process of dividing a dataset into training and testing sets called?
Which data preprocessing technique involves balancing the distribution of classes in a dataset?
What is the process of converting text data into a numerical format called?
Which data preprocessing technique involves removing stop words from a text dataset?
What is the process of converting dates and times into a consistent format called?