Data preprocessing

What is the first step in data preprocessing?

• Feature Scaling

• Data Cleaning

• Model Selection

• Hyperparameter Tuning

Which technique is used to handle missing data in a dataset?

• Removing missing values

• Imputing missing values

• Using machine learning algorithms to predict missing values

• All of the above

What does Min-Max scaling do?

• Transforms data into a range between -1 and 1

• Transforms data into a range between 0 and 1

• Converts categorical variables into numerical values

• Removes outliers

What does Standardization (Z-score normalization) do?

• Rescales data to a fixed range

• Transforms data to have a mean of 0 and standard deviation of 1

• Converts categorical data into numerical data

• Removes skewness from data

What is the main drawback of Label Encoding for categorical variables?

• It increases the dimensionality of data

• It introduces an ordinal relationship between categories

• It removes duplicate values

• It cannot handle missing values

Which of the following methods is used for handling outliers?

• Z-score method

• IQR (Interquartile Range) method

• Both

• None

What is the main goal of Artificial Intelligence (AI)?

• To perform mathematical calculations

• To mimic human intelligence and decision-making

• To replace human workers completely

• To store and retrieve large amounts of data

What differentiates Business Analytics from Data Analytics?

• Business Analytics focuses on making data-driven business decisions

• Business Analytics does not involve statistical analysis

• Data Analytics is only used for financial data

• Business Analytics does not involve data mining

What is the primary function of Deep Learning?

• Automating repetitive office tasks

• Learning patterns from large datasets using neural networks

• Performing basic statistical calculations

• Creating structured databases

Which of the following is not a type of machine learning

• Supervised learning

• Semisupervised learning

• Unsupervised learning

• Reinforcement learning