Learn the Basics of Recommendation Engines with Python
Are you curious about how recommendation engines work and how they are used by big companies like Netflix, Amazon, and Google? Look no further because this course is here to give you a fundamental understanding of recommendation engines!
In this course by Sumit Pareek, an E-Commerce & Digital Marketing startup mentor & investor at Indian Institute of E-Commerce, you will learn the basic concepts of a recommendation engine and how to build a simple but functional one using Python programming skills and simple math. This course is perfect for beginners interested in learning basic machine learning concepts and Python beginners looking for interesting projects.
Recommendation engines are everywhere and are becoming essential to selling anything online. They provide personalized suggestions for products, movies, books, foods, and even romantic partners based on our personal tastes. This course will help you understand how recommendation engines work and how to build a simple toy recommendation engine from scratch.
Throughout the course, you will walk through the collaborative filtering algorithm used by Netflix to recommend movies to users based on the tastes of other similar users. By the end of the course, you will have a solid understanding of the fundamentals behind this algorithm.
Don’t worry about learning complex machine learning theory. This course is designed to explain concepts in plain language and walk through code line by line. By taking this course, you will be prepared for more advanced study and be able to make your first big steps towards the future!
