Describe an interesting research question (or practical question) you have in mind, what kind of data should be collected to answer the question(s)? How many data needed for the analysis? The detail steps for collecting and save the data. no code for this question, write down your answer as detail as possible for the above questions): 2. Write python code to collect 500 items of the data you plan to collect above.

Note: a python code to collect 500 items of the data described below "

Have you ever wondered how media platforms , and others recommend you what to watch next? To do so, they use a tool called the recommender/recommendation system. It takes several metrics into consideration, such as age, previously watched shows, most-watched genre, watch frequency, and feeds them into a Machine Learning model which then generates what the user might like to watch next.

Based on your preference and input data, you can try to build either a content-based recommendation system or a collaborative filtering recommendation system. For this project, you can pick R with the MovieLens dataset that covers ratings for over 58,000 movies"