Difference between revisions of "TDSM 7.5"
From The Data Science Design Manual Wikia
(2 intermediate revisions by the same user not shown) | |||
Line 6: | Line 6: | ||
3. Model the intelligence of the candidates | 3. Model the intelligence of the candidates | ||
+ | |||
+ | Movie Gross? | ||
+ | |||
+ | It can be sub-divided into these three categories: | ||
+ | |||
+ | 1. Movies based on Genre | ||
+ | |||
+ | 2. Movies based on Language | ||
+ | |||
+ | 3. Movies based on Budget | ||
+ | |||
+ | Art auction price? | ||
+ | |||
+ | It can be sub-divided into these three categories: | ||
+ | |||
+ | 1. Popularity of the Artist | ||
+ | |||
+ | 2. Years of Experience of the Artist | ||
+ | |||
+ | 3. Place of Auction |
Latest revision as of 21:27, 13 December 2017
Miss Universe? This problem consists of different problems. For a girl to be miss universe she should be intelligent, beautiful and stylish. So each of these problems can be modeled separately and by mixture of the models we can build the model for Miss Universe.
1. Model the style of the candidates
2. Model the beauty of candidates
3. Model the intelligence of the candidates
Movie Gross?
It can be sub-divided into these three categories:
1. Movies based on Genre
2. Movies based on Language
3. Movies based on Budget
Art auction price?
It can be sub-divided into these three categories:
1. Popularity of the Artist
2. Years of Experience of the Artist
3. Place of Auction