Suppose you are working with a job posting dataset containin…

Suppose you are working with a job posting dataset containing around 4,000 job listings collected from Glassdoor. Each row represents a job listing, and the dataset includes the following columns for each listing: Id: A unique identifier for each row in the dataset Job Title: self-explanatory Job Description: A detailed description of the job, including responsibilities, qualifications, and other relevant information. Company Name: self-explanatory Location: self-explanatory Estimated Salary: self-explanatory Industry: The industry sector in which the company operates. There are three unique values in this column (Internet, Software, and Video Game) You are given a task to predict the industry for a job posting based on the job description. Please discuss the steps you will take to complete this task, providing details and the rationale behind each step.

We have a table below, and we want to apply user-based colla…

We have a table below, and we want to apply user-based collaborative filtering to recommend bands to Chan. To simplify the calculation, we are going to use the Manhattan distance as our measure. First, please calculate the distance between Chan and other users.   (1 pt) Angelica – Chan: [a] (1 pt) Bill – Chan: [b] (1 pt) Dan – Chan: [c] (1 pt) Hailey – Chan: [d] (Please continue calculating the distance between Chan and the rest of the users) (3 pts) Next, which band/artist should we recommend to Chan? [h]