Answer:
Theoretically Yes
Explanation:
The data given is linearly separable. So, the subset of the data will also be linearly separable. And it will pass for all training dataset. However, you should definitely never expect such thing In any real-life problem because the data is noisy, for a bazilion of reasons, so no model is guaranteed to perform perfectly.
The answer is false......
Answer:
The answer is "Option B"
Explanation:
In the given code, a class "DateType" is declared, inside the class, four methods "Initialize, GetYear, GetMethod, and GetDay" is defined, in which the "Initialize" method does not return any value and other methods return a constant type value, which means it value can't be changed.
Inside the class three integer variable is defined, that is"year, month, and day". In the "GetDay" method call, it first creates the class object "day1", which is already defined in question and call the method by dot (.), that's why only choice b is correct.
If you mean speakers. You should remove them or if you mean the speakers in the PC. Perhaps you put the headphones in the wrong one. Theres usually too one in the front and the other one in the back of the desktop.
Hope this helps.
Regards. Shaggy
Enjoy your music!
False. horizontal can be used for landscape pictures to create a depth effect
