Answer:
The output to this given question is "Is it warm: true".
Explanation:
In this question firstly two-variable defines that are isRaining and isCloudy. In those variables assign false value. Then we define another variable that is isSunny. In isSunny variable, we check condition that is if variable isRaining not AND (logical gate) variable isCloudy not equal to isSunny. The AND logical gate is used to check that both condition is true or not. Then we define another variable that is isWarm. In this variable, we check condition if isSunny OR (logical operator) isSummer is true. The OR operator is used to check in both value if one condition will true it will print true. At the last will print the value.
Answer:
Hes really nice
TSUNAMI SUSHI HAS A TSUNAMI OF ADMIN ABUSE!! TSUNAMI SUSHI HAS A TSUNAMI OF ADMIN ABUSE!! TSUNAMI SUSHI HAS A TSUNAMI OF ADMIN ABUSE!! TSUNAMI SUSHI HAS A TSUNAMI OF ADMIN ABUS!Chicken wing
Chicken wing
Hot dog and baloney
Chicken and macaroni
Chillin with my homies
Chicken wings
Chicken wings
Answer:
Collaborative filtering
Explanation:
This is one out of five on the Recommender system apart from most popular items, Association and Market Basket based Analysis, Content-based analysis, self and hybrid analysis where we use both content-based and collaborative based approach together. And the Recommender system is a very important topic in Data science. For this question, remember that Collaborative filtering focuses on user and various other user's choices which are mathematically alike to concerned users, and which we find with the study of a large data set. Thus, we can predict from our above study that what are going to be likes of concerned users, and at the item level, whether that item will be liked by the concerned user or not. And this is prediction, and we use this approach in Machine learning these days. For this question, and as mentioned in question the requirements, answer is Collaborative filtering.
