I need python code only pls do superfast correct You are not allowed to use the direct libraries and implement the code from the scratch.2 Polynomial Regression in One Dimension [Easy]In this question, we will repeat the experiments discussed in the class with respect to poly-nomial regression but with a different function.1. Generate 20 data points from function f(x)N(0,0.004) with a ranging froin 0 to 27.cos(27x) + + noise where noise%3D2. Fit a polynomial regression with optimal weight vector w and plot the curves for dif-ferent degree of polynomials M = 1, 2, 3, 5, 7, 10. Explain your observations by plottingthe data points generated and the curve obtained for different values of M.3. Repeat the previous experiments with more number of data points and report yourfindings.

Task : Given the data points range and the number of data points. Fit the polynomial regression…

2 Polynomial Regression in One Dimension [Easy] In this question, we will repeat the experiments discussed in the class with respect to poly- nomial regression but with a different function. 1. Generate 20 data points from function f(x) = cos(27x) + + noise where noise~ N(0,0.004) with a ranging from 0 to 27. 2. Fit a polynomial regression with optimal weight vector w and plot the curves for dif- ferent degree of polynomials M = 1, 2,3, 5, 7, 10. Explain your observations by plotting the data points generated and the curve obtained for different values of M. 3. Repeat the previous experiments with more number of data points and report your findings.

2 Polynomial Regression in One Dimension [Easy] In this question, we will repeat the experiments discussed in the class with respect to poly- nomial regression but with a different function. 1. Generate 20 data points from function f(x) = cos(27x) + + noise where noise~ N(0,0.004) with a ranging from 0 to 27. 2. Fit a polynomial regression with optimal weight vector w and plot the curves for dif- ferent degree of polynomials M = 1, 2,3, 5, 7, 10. Explain your observations by plotting the data points generated and the curve obtained for different values of M. 3. Repeat the previous experiments with more number of data points and report your findings.

Computer Networking: A Top-Down Approach (7th Edition)

7th Edition

ISBN:9780133594140

Author:James Kurose, Keith Ross

Publisher:James Kurose, Keith Ross

Chapter1: Computer Networks And The Internet

Section: Chapter Questions

Problem R1RQ: What is the difference between a host and an end system? List several different types of end...

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