Data Science Python Ordinary Squares Linear Regression

Question

import numpy as np

n, p = [int(x) for x in input().split()]
X = []
for i in range(n):
X.append([float(x) for x in input().split()])

y = [float(x) for x in input().split()]

A = np.array(X)

B = np.array(y)

C = np.dot(A, B)

print(C)

I get the message "this code is missing a closing parenthesis AND my answer is wrong" Can anyone help, me, please?

Answer 1

Catherine it looks like the first line is missing an item in the tuple assignment. There is only a single element on the right side of the assignment. The list gets assigned to n, and there is nothing left to assign to p. I think it should run if you add another call to input() in front so that n gets a single value, and the list gets assigned to p.

n, p = int(input()), [int(x) for x in input().split()]