Learn how to build a movie recommendation system in Python using pandas, machine learning algorithms, and CountVectorizer for text pre-processing. The system analyzes movie descriptions, leverages cosine similarity to find similar movies, and provides personalized recommendations based on user preferences.
Table of contents
Table of ContentsWhat Are Our Goals?Approach OverviewImportance of Machine Learning in Movie RecommendationsData Collection and PreprocessingFeature Selection and EngineeringCountVectorizer for Text Pre-ProcessingMachine Learning for RecommendationFramework SelectionData Splitting: Training, Testing, and ValidationWalkthrough of the Python CodeFull JupyterNotebook CodeChallenges and Solutions in Machine Learning-based RecommendationsLimitations and Areas for Future ImprovementThank You for Reading!Sort: