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Recommendation Systems with Python

Track :

Programming

Lessons no : 5

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What will you learn in this course?
  • Develop and implement collaborative filtering algorithms for personalized recommendations using Python and data analysis techniques
  • Build a movie recommender system applying user-item interaction data and collaborative filtering methods in Python
  • Optimize recommendation accuracy through modifications and hybrid approaches in Python-based recommendation systems
  • Evaluate and troubleshoot recommendation system performance using Python tools and real-world datasets

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Lessons | 5

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55 Reviews

harsh soni

good
2025-10-14

Sarvesh Gosavi

Very Good Course
2025-07-22

SUBHAKAR

Good
2025-05-05

Gajulapalli Ramana Reddy

Na
2025-04-22

Gali Mallikarjuna Reddy

NICE
2025-04-21

Manu Shankar

It helpfull
2025-04-21

Nandish P BTech CSE AI

It's good
2025-04-21

Madithatireddyvinodreddy

Good
2025-04-21

MANJUNATH REDDY A

Manjunath Reddy A
2025-04-21

Prashant Pawar CSE AIML

Tyu
2025-04-21

Monish Kumar J CSE AIML

Got a Good Introduction about recommender systems
2025-04-20

Renuka chowdary

Good
2025-04-20

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Collaborative filtering (CF) and its modifications is one of the most commonly used recommendation algorithms. Even data scientist beginners can use it to build their personal movie recommender system, for example, for a resume project .