Data Preprocessing By A Staff Writer / July 10, 2025 Welcome to your Data Preprocessing Level: Intermediate Why is data preprocessing important? It improves the accuracy of models It reduces the size of the data storage It visualizes data directly It replaces all manual tasks None What is the purpose of feature scaling? To make all features have the same scale To remove unnecessary features To convert data to binary format To increase the model’s complexity None Which technique is used to handle missing data? Imputation Normalization Data Shuffling One-Hot Encoding None What is the main goal of dimensionality reduction? Increase data redundancy Simplify the dataset while retaining important information Add more features to the dataset Eliminate all categorical variables None What is the difference between normalization and standardization? Normalization scales data to a range, while standardization scales to a mean of 0 and variance of 1 They are exactly the same Standardization applies only to images Normalization removes all outliers None Time's up
