Sir, in the tutorial what does the term noise justify in the expression
y=f(x)+c+noise
what could be a noise in data manipulation?
What is noise in regression?
Hey @Kunnaal, i would like to explain you this by an example,
x y
1 1
2 2
3 3
4 4
5 5
Now if you try to fit this in linear regression model, you will be able to find a perfect fit line y = x and every data point perfectly satisfies this. So noise = 0
x y
1 1
2 2.1
3 2.9
4 4
5 5
Now if you want to fit again now also the line y = x come but now 2 and 3 point didn’t fit the game, and this means they contains some noise, their values should be 2 and 3. So this is what referred as noise in the dataset.
Hope this resolved your doubt.
Plz mark the doubt as resolved in my doubts section 
thank you
that was helpful