Remоte wоrk trends аnаlysis Fоr this exаm, you will be building a model to predict whether an employee prefers remote work post pandemic based on various predictors. The "remote_work_trends.csv" data set consists of the following variables: Age: Age of the employee (Quantitative) Gender: Gender of the employee (Qualitative) Country: Country of residence (Qualitative) JobRole: Job role of the employee (Qualitative) ExperienceYears: Years of experience in the current job role (Quantitative) RemoteWorkHoursPerWeek: Average number of hours worked remotely per week (Quantitative) JobSatisfaction: Job satisfaction level on a scale of 1-10 (Quantitative) TechToolsUsed: Number of different tech tools used for remote work (Quantitative) CompanySize: Size of the company (small, medium, large) (Qualitative) Salary: Monthly salary in USD (Quantitative) ProductivityLevel: Self-reported productivity level (low, medium, high) (Qualitative) MentalHealthImpact: Self-reported impact on mental health (positive, neutral, negative) (Qualitative) RemoteWorkPreference: This is the response variable. The indicates the preference for remote work post-pandemic (yes, no) (Qualitative) Read the data and answer the questions below: NOTE: The categorical variables have already been converted into factors in the code below. The dataset has been divided into train and test datasets. NOTE: Use the dataset 'trainData' for all the questions unless otherwise stated in that question.
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