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y_true = [int(x) for x in input().split()] y_pred = [int(x) for x in input().split()] import numpy as np y_true=np.array(y_t

0 Stemmen

9th Aug 2022, 4:39 PM

Agnesh Vinciya

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

3 Stemmen

15th Apr 2021, 6:40 AM

Priyanka

what is the solution n, p = [int(x) for x in input().split()]

-average data of rows science

-1 Stem

11th Nov 2021, 8:38 AM

Zaid Zren

Data Science - Average of Rows

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

-1 Stem

11th Nov 2021, 8:35 AM

Zaid Zren

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