Learn how to build a movie recommendation system using Python. This course will guide you through the entire process, from data preprocessing to deploying your model.

Course Overview

  • Introduction to Movie Recommendation Systems
  • Data Preprocessing
    • Data Cleaning
    • Feature Engineering
  • Model Building
    • Collaborative Filtering
    • Content-Based Filtering
  • Evaluation and Optimization
    • Model Evaluation Metrics
    • Hyperparameter Tuning
  • Deployment

Learning Outcomes

  • Understand the basics of movie recommendation systems
  • Implement collaborative filtering and content-based filtering models
  • Evaluate and optimize your models for better recommendations

Course Content

Introduction to Movie Recommendation Systems

A movie recommendation system is a system that provides suggestions of movies that a user might like based on their past behavior. This can be achieved through various techniques, including collaborative filtering and content-based filtering.

Data Preprocessing

Data preprocessing is a crucial step in building a recommendation system. It involves cleaning the data and creating meaningful features that can be used by the model.

  • Data Cleaning
    • Handle missing values
    • Remove outliers
  • Feature Engineering
    • Extract movie features from metadata
    • Create user features based on user ratings

Model Building

In this section, you will learn to build both collaborative filtering and content-based filtering models.

  • Collaborative Filtering
    • User-based collaborative filtering
    • Item-based collaborative filtering
  • Content-Based Filtering
    • Use movie metadata to generate features
    • Calculate similarity between movies

Evaluation and Optimization

After building the models, it is important to evaluate their performance and optimize them for better recommendations.

  • Model Evaluation Metrics
    • Precision, recall, and F1-score
    • Mean Average Precision at K (MAP@K)
  • Hyperparameter Tuning
    • Grid search
    • Random search

Deployment

Finally, you will learn how to deploy your movie recommendation system.

  • API Development
    • Create an API for your model
    • Test the API
  • Deployment Strategies
    • Cloud deployment
    • Containerization

Further Reading

For more in-depth learning, check out our advanced course on Advanced Machine Learning.

Movie Recommendation System