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Hands on Recommendation Systems with Python

Track :

Programming

Lessons no : 6

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What will you learn in this course?
  • Develop personalized recommendation algorithms using collaborative filtering, content-based filtering, and hybrid methods with Python tools
  • Implement data preprocessing, feature engineering, and model evaluation techniques for effective recommendation system development
  • Build scalable recommendation systems capable of handling large datasets and real-time user interactions
  • Apply machine learning and deep learning techniques to enhance recommendation accuracy and user engagement
  • Utilize Python libraries such as pandas, scikit-learn, and TensorFlow to develop and deploy recommendation models
  • Analyze user behavior and preferences to optimize recommendation strategies for diverse industries and applications

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Lessons | 6


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4.3
3 Reviews

pasumarthi eswar sathya kumar

good
2025-04-20

Kamurthy sravya

nice
2025-04-20

Jeevitha K

useful
2025-04-15

Poorvika ac

Useful
2025-04-15

ANU K BABU INT MCA 2020-2025

gud
2025-04-07

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With Hands-On Recommendation Systems with Python, learn the tools and techniques required in building various kinds of powerful recommendation systems .