contentbased.py

import numpy as np
import pandas as pd
from sklearn.metrics.pairwise import cosine_similarity
from sklearn.metrics import mean_squared_error
from sklearn.model_selection import train_test_split
from sklearn.feature_extraction.text import TfidfVectorizer
from sklearn.metrics.pairwise import linear_kernel
movies = pd.read_csv('movies_metadata.csv')
print(movies.head())