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Machine Learning

Implement least-squares linear regression to obtain the regression of Y on X on the following data (training set):

X Y

1 0

2 0

3 0

4 1

5 1

10 1

11 1

12 1

13 1

Note that our X here is one-dimensional. (consider linear regression of Y on X when X was a d-dimensional feature-vector. When X is multidimensional, the regression is described by some as “multiple linear regression.”)

Consider the test points X = 2.4, X = 5.5, and X = 3.9. Assume that the test points’ Y values are (magically) known: (2.4, 0), (5.5, 1), (3.9, 0).

you can write a simple program to do it. Please do not use any ready-made package that offers linear regression as a single callable function; using function calls for, e.g., Gaussian elimination, matrix inversion or pseudo-inversion is OK, though.

Once you accept the project , the information regarding this project will be posted .

Compétences : Machine Learning (ML), Python, Algorithme

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Concernant l'employeur :
( 1 commentaire ) Hyderabad, India

Nº du projet : #27501958

18 freelancers are bidding on average ₹1875 for this job

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ilyarotov02

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maijahanzaib

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bizzyvinci

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AshiqHussain830

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nhamdani44

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holla4kumar

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prabhakarmadurai

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omartini

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pmdomadiya

Hi, I can do this task very easily with a few lines of Python code without any ready made packages. I have solved and implemented many complex least squares problem. I am best fit for this task. Thanks

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techpriest01

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rbn2000

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ggraghav

i have worked on linear regressions earlier. i have python skills .i am looking forward to work on this project.

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fernandesfelipe1

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