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About the workshop
Have you ever noticed how different websites recommend what to read, watch, or listen to based on your interests and internet activity? From tech giants like Google and Netflix to e-commerce companies like Amazon and eBay, the concept of a recommendation engine represents a significant margin for customer acquisition and buyer conversion. In this workshop, we will try to understand how such a music recommendation engine works and build it from scratch.
What will you learn in the workshop?
1. What are recommendation engines?
2. How do recommendation engines work?
3. Which algorithm is best suited for music recommendation?
4. Build a music recommendation engine around user preferences and activities
About the trainer
Sumit holds a BE (Hons) from BITS Pilani and is associated with Microsoft as a Data and Application Scientist. He has over 7 years of experience in Data Science and Machine Learning. Sumit has also worked for reputed organizations like Tata and Jio. Apart from being a successful Data Science and Machine Learning professional, he is also one of the most well-known trainers in the field. He has personally mentored over 50 Data Science aspirants. Sumit’s lectures have so far benefited over 1000 learners and his technical sessions include nearly 150 Data Science learners at a time.
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Watch the full Python For Data Science course – https://youtu.be/vVnkU1fTM_w
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Why should you watch this Python tutorial for data science?
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