How to Build a Recommendation System with Python

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Published on ● Video Link: https://www.youtube.com/watch?v=HGoZHvyxHoo



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Duration: 0:42
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Welcome to our tutorial on "How to Build a Recommendation System with Python". In this video, we will guide you step-by-step through the process of building a recommendation system using Python, a powerful and versatile programming language.

We will cover the basics of recommendation systems, including collaborative filtering and content-based filtering, and show you how to implement them in Python. We'll also cover how to preprocess and prepare data for training, as well as how to evaluate and optimize your recommendation system's performance.

By the end of this tutorial, you will have the skills and knowledge needed to build your own recommendation system and use it to provide personalized recommendations for products, movies, music, and more. Whether you're a beginner or an experienced data scientist, this tutorial will provide you with the foundation to understand and build recommendation systems.

So, join us as we explore the exciting world of recommendation systems and learn how to build your own with Python. Don't forget to like, comment, and subscribe to our channel for more exciting tutorials!







Tags:
Recommendation System
Python
Collaborative Filtering
Content-Based Filtering
Machine Learning
Data Preprocessing
User-Based Filtering
Item-Based Filtering
Matrix Factorization
Singular Value Decomposition
Item-Item Collaborative Filtering
User-Item Collaborative Filtering
Hybrid Filtering
Evaluation Metrics
Precision
Recall
F1-Score
Root Mean Squared Error.