Description
Recommendation system Real World Projects using Python course. Real-world project recommendation system course using Python. Believe it or not, almost every online platform today uses some form of recommender system. So what are “recommendation systems” and why are they so useful? Let’s look at the top 3 websites on the internet: Google, YouTube and Netfix. Google: search results. This is why Google is the most successful technology company today. YouTube: video dashboard. I’m sure I’m not the only one who has accidentally spent hours on YouTube when I had more important things to do! How do they convince you to do it? That’s right, all this is due to recommender systems! Netflix: very powerful in terms of recommending suitable movies to users according to user behavior! The goal of recommender systems is to predict users’ interests and recommend product items that are likely to be of interest to them. This course will give you a thorough understanding of recommender systems. In this course, we will cover the following:
- Use recommender systems.
- Weighted average technique recommender system
- Popularity based recommender system
- Mixed model based on weighted average and popularity
- Collaborative filter
- Content-based filtering
- And much, much more!
What you will learn in the Recommendation system Real World Projects using Python course
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Learn how to deal with real world problems.
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Learn contribution-based filtering
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Learn how to use correlation to recommend similar movies or similar books
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Learn about content-based recommendation systems
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Learn how to use different techniques like weighted average, composite model and more.
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Learn about the different types of recommender systems
This course is suitable for people who
- Data scientists
- Data analysts
- Machine learning engineer
- Anyone who wants to dive into data science.
- Students and professionals who want to get hands-on.
Course specification Recommendation system Real World Projects using Python
- Publisher: Udemy
- teacher: Shan Singh
- Training level: beginner to advanced
- Training duration: 4 hours and 27 minutes
Course topics on 10/2023
Prerequisites of the course Recommendation system Real World Projects using Python
- For earlier sections, just know some basic arithmetic
- Be proficient in Python..
Course images
Sample video of the course
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
2.05 GB
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