Develop Recommendation Engine with PYTHON
Learn to apply recommendation techniques used by Amazon, Netflix, Youtube, IMDB
Development,Data Science,Recommendation Engine
Lectures -12
Duration -58 mins
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Course Description
In this course, you'll going to learn about recommendation system. Also known as recommender engines. According to Netflix, there 70% of the videos seen by recommending the videos to the user. Not only Netflix, Amazon also claims most products, they because of their recommendation system. There is a wide range of techniques to be used to build recommender engines. In this learning path, It will mostly cover all the easy to moderate kind of techniques with hands on experience.
What is Recommendation System?
Recommender systems aim to predict users’ interests and recommend product items that quite likely are interesting for them. They are among the most powerful machine learning systems that online retailers implement in order to drive sales. Data required for recommender systems stems from explicit user ratings after watching a movie or listening to a song, from implicit search engine queries and purchase histories, or from other knowledge about the users/items themselves.
Two types of Recommendation systems are Collaborative Based and Content based filters Recommending system. You'll be excel both the methods after the completion of course. Other than this you'll also learn more about cosine, Pearson correlation as well different types of machine learning algorithms like Logistic regression and K-nearest to get the best recommendation.
Goals
- Learn Collaborative Filtering Recommendation technique
- Learn Content Based Filtering Recommendation technique
- Learn to build Hybrid Recommendation Engine
- Learn the techniques used by Amazon, Netflix to recommend products to the customer
Prerequisites
- Anaconda installed in pc
- Python installed in pc
- Little bit knowledge of python programing, pandas and numpy
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Curriculum
Check out the detailed breakdown of what’s inside the course
Everything is Recommendation
1 Lectures
-
What is Recommendation System? 02:31 02:31
Let's create a basic Recommendation System..
4 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Content Filter Recommendation System
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Collaboration Based Recommendation System
3 Lectures
![Tutorialspoint](/market/public/assets/images/loader.gif)
Instructor Details
![Pranjal Srivastava](https://www.tutorialspoint.com/assets/profiles/137804/profile/200_175574-1578059958.jpg)
Pranjal Srivastava
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 78 courses with over 115,000 students worldwide across 175+ countries on wide array of technologies like devops, containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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