Lecture 3.5, Mathematics for Data Science - I

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somasin...@gmail.com

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Oct 27, 2020, 2:43:37 PM10/27/20
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I do not understand anything in it. Can I get help with that lecture?

Malabika Guha Mustafi

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Oct 27, 2020, 10:31:20 PM10/27/20
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The topic is : Straight line fit

Y= mx +c ( y is a function of x and some constant)
According to theory , all y should obey the function formula so if we plot all y  then we will get a straight line . But in practical, we always get Y which are slightly deviated from what their values are supposed to be. So if we plot then instead of getting all values of  y on a straight line we are getting scattered y points nearby a straight line but not exact on straight line. so our goal is how can we fit the all y near to a straight line means  how we can minimize the  difference between actual y value( after observation)  and corresponding  y value of the fitted straight line.


That is the main reason to find out SSE which is minimum .( considering different m value of an equation).
Hope it helps you.


Vaishnavi Shreya

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Oct 28, 2020, 10:04:10 AM10/28/20
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Thankyou so much.

Malabika Guha Mustafi

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Oct 28, 2020, 10:11:45 AM10/28/20
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