A lot of people do love going on different kinds of adventures. People do like adventures because;
- It helps to improve their physical health and it also hinders/ treat different scope or range of health issues.
- It helps to make the human brain bigger that is, adventures such as hiking or walking helps to grow the brains.
- People go on adventures so as to build or raise their tolerance level such as Tolerance for uncertainty.
- Adventures helps to improve one's reflectiveness and mental skill
- It gives you new ideas, feeds your dreams and also helps to builds your confidence.
Adventure is simply defined as the act of been involved in an unusual or exciting experience or any activity. It can be hazardous in nature.
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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.
Answer:
Option 2 is correct.
Explanation:
Option 2 is correct because most of the components used in laptop is far different from Desktops. They are not able to fix in desktops. They are designed specially for laptops.
Answer:
I do not understand can you type in English?
Explanation:
