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Develop Recommendation Engine with PYTHON 2022

Learn to apply recommendation techniques used by Amazon, Netflix, Youtube, IMDB
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Platform: Udemy
Video: 59m
Language: English
Next start: On Demand

Table of contents

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.

You will learn

✓ 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
✓ Learn the fundamental concepts about Recommendation Engine

Requirements

• Anaconda installed in pc
• Python installed in pc
• Little bit knowledge of python programing, pandas and numpy

This course is for

• any machine learning engineer or data scientist who want to learn about trending machine learning application
• any professional who want to know the secrets behind the recommendation of the products
Docker | Kubernetes | AWS | Azure | ML | Linux | Python
I am an Instructor, Devops engineer, machine learning enthusiast, cloud expert and passionate developer.
I have authored 60+ courses with over 80,000+ students worldwide across 175+ countries on wide array of technologies like containerization, machine learning, Linux, programming languages and cloud computing platforms like Microsoft Azure, Amazon Web Service and IBM Cloud.
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Platform: Udemy
Video: 59m
Language: English
Next start: On Demand

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