Categorical DataIn which of the following situations will you have to deal with categorical data? (Please note that multiple options can be selected)You want to know whether or not the page load time affects the revenue.You want to know whether or not a more personalised search algorithm will have an impact on the conversion rate.You want to know whether or not employee efficiency is related to salary.You want to check whether or not altering the flow of your checkout funnel will lead to more purchases.

Amount of Telecommunication Expense is an example of Group of answer choicesCategorical DataQuantitative Dataeither categorical or quantitative datanon-numeric Data

Income is an example of ___.Group of answer choicesquantitative datacategorical datacurrency dataeither categorical or quantitative data

A data analyst wants to train a machine learning model to predict the salary of new hires. The training data contains both categorical and numeric features. Which of the following statements is correct regarding categorical and numeric features?Box Cox tranformation and Yeo Johnson transformation can be used on both numeric and categorical featuresBox cox tranformation is used on categorical features while Standard Scaler is used on numerical featuresMin Max Scaler is used on both numeric and categorical columnsYeo Johnson transfomation is used on numeric features while One hot encoder is used on categorical columns

Different types of data

Which of the following is a valid method for handling categorical data in ML?*1 pointo A) One-hot encodingo B) Mean normalizationo C) Log transformationo D) Principal Component Analysis