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Python 2021-08-30 11:56:01
knn code
from sklearn.neighbors import KNeighborsClassifier from sklearn.metrics import accuracy_score from sklearn.metrics import classification_report X = df.drop('column name', axis = 1) y = df.["Column name(target)"].values X_train_knn, X_test_knn,... Add solution -
Python 2021-08-30 04:23:02
python generate random string with lenght
import random import string def randStr(chars = string.ascii_uppercase + string.digits, N=10): return ''.join(random.choice(chars) for _ in range(N)) # default length(=10) random string print(randStr()) # random string of length 7 print(randStr(N=7)) ... Add solution -
Other 2021-08-30 04:02:02
sklearn cross validation score
from sklearn.model_selection import cross_val_score scores = cross_val_score(classifier_logreg, X_train, y_train, cv = 5, scoring='accuracy') print('Cross-validation scores:{}'.format(scores)) print('Average cross-validation score: {}'.format(scores.mean())) Add solution -
Python 2021-08-30 03:38:02
python person name matching
import numpy as np def levenshtein_ratio_and_distance(s, t, ratio_calc = False): """ levenshtein_ratio_and_distance: Calculates levenshtein distance between two strings. If ratio_calc = True, the function computes the ... Add solution -
Python 2021-08-30 02:48:02
face_recognition python project
import cv2 import face_recognition imgElon = face_recognition.load_image_file('ImagesBasic/Elon Musk.jpg') imgElon = cv2.cvtColor(imgElon,cv2.COLOR_BGR2RGB) imgTest = face_recognition.load_image_file('ImagesBasic/Bill gates.jpg') imgTest = cv2.cvtColor(... Add solution