# Fit vectorizer to video data and transform into vectors video_vectors = vectorizer.fit_transform(video_data["title"] + " " + video_data["description"])
import pandas as pd from sklearn.feature_extraction.text import TfidfVectorizer from sklearn.metrics.pairwise import cosine_similarity missax in love with daddy 4 xxx 2022 1080p
# Create TF-IDF vectorizer for video titles and descriptions vectorizer = TfidfVectorizer(stop_words="english") # Fit vectorizer to video data and transform