Category : machine-learning

In a CSV sheet I have different types of data like ranges(watchtime 2-4 hours), Person name(String), Person Likes(Action, Thriller). On the basis of all this information I want to train and then ask a few inputs like watchtime, Likes and the program will find the best match or best person who resembles that input. Source: ..

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I am stuck in an issue with the query below which is supposed to plot best parameter for KNN and different types of SVMs: Linear, Rbf, Poly. So far I wrote the query below: import numpy as np import matplotlib.pyplot as plt from sklearn.model_selection import train_test_split from sklearn.neighbors import KNeighborsClassifier from sklearn.svm import SVC from ..

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