revaldianggara

# Enter your code here. Read input from STDIN. Print output to STDOUT
'''
Implementasi rumus koefisien korelasi
r = (n*xy - x*y) / math.sqrt((n*xsq - x*x)*(n*ysq - y*y))
'''

import math as m

a = [15, 12, 8, 8, 7, 7, 7, 6, 5, 3]  # Physics Scores
b = [10, 25, 17, 11, 13, 17, 20, 13, 9, 15]  # History Scores

revaldianggara

import sys
from sklearn.feature_extraction import text
from sklearn import pipeline
from sklearn import linear_model
import numpy


def build_model():
    clf = pipeline.Pipeline([
        ('vect',

revaldianggara

# Enter your code here. Read input from STDIN. Print output to STDOUT
import numpy as np
N = int(input())
data = []
temp = []
for i in range(N):
     data.append(input().split())
     temp.append(float(data[i][1]))
     
     

revaldianggara

SELECT name FROM employees
WHERE id NOT IN (SELECT managerId FROM employees WHERE managerId IS NOT NULL);