# Apply the function df['is_hd'] = df['video_quality'].apply(is_hd)
df = pd.DataFrame(data)
print(df) movie_title video_quality is_hd 0 Movie A 1080p 1 1 Movie B SD 0 2 Movie C 4K 1 This example demonstrates a simple feature generation process. The specifics may vary based on your dataset and requirements. If "2.fit" pertains to a specific model, algorithm, or additional context not provided, further tailoring would be necessary. hd movies 2.fit
# Example dataset data = 'movie_title': ['Movie A', 'Movie B', 'Movie C'], 'video_quality': ['1080p', 'SD', '4K'] # Apply the function df['is_hd'] = df['video_quality']
# Function to generate is_hd feature def is_hd(quality): hd_qualities = ['720p', '1080p', '4K'] return 1 if quality in hd_qualities else 0 or additional context not provided