Write Python code to generate a regression dataset that contains 250 examples. In this dataset, each input x is drawn uniformly random from (0, 2) and the corresponding output is y = x³ − 3x² + 2x + €, where € is Gaussian noise with zero mean and standard deviation 0.04. You don't need to define a function, but your code should create variables that contain all the inputs and outputs. You should also fix a random seed so that your results are reproducible. [ ] # Write your code here

Write Python code to generate a regression dataset that contains 250 examples. In this dataset, each input x is drawn uniformly random from (0, 2) and the corresponding output is y = x³ − 3x² + 2x + €, where € is Gaussian noise with zero mean and standard deviation 0.04. You don't need to define a function, but your code should create variables that contain all the inputs and outputs. You should also fix a random seed so that your results are reproducible. [ ] # Write your code here

Database System Concepts

7th Edition

ISBN:9780078022159

Author:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Publisher:Abraham Silberschatz Professor, Henry F. Korth, S. Sudarshan

Chapter1: Introduction

Section: Chapter Questions

Problem 1PE

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Question

Write Python code to generate a regression dataset that contains 250 examples. In this dataset, each
input x is drawn uniformly random from (0, 2) and the corresponding output is
y = x² − 3x² + 2x + €, where € is Gaussian noise with zero mean and standard deviation 0.04.
You don't need to define a function, but your code should create variables that contain all the inputs
and outputs. You should also fix a random seed so that your results are reproducible.
[ ] # Write your code here

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