Movie Recommendation System using IMDB Data

import pandas as pd
import numpy as np

movies=pd.read_csv('tmdb_5000_movies.csv')
credits=pd.read_csv('tmdb_5000_credits.csv')

movies.head()

movies.columns

movies.shape

credits.head()

movies = pd.merge(movies, credits, on='title')

movies.shape

movies.head(1)

movies.info()

movies[['budget','cast','overview']].head()

movies.duplicated().sum()

movies.iloc[1].genres

import ast
def convert(text):
  L = []
  for i in ast.literal_eval(text):
    L.append(i['name'])
  return L

movies.genres = movies['genres'].apply(convert)