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Recommendation Engine Bootcamp with 3 Capstone Projects

Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies

4.55 / 5.0
14361 students4 hours 24 minutes

Created by Data Is Good Academy, offered on Udemy

bestcourses score™

Student feedback

7.2/10

To make sure that we score courses properly, we pay a lot of attention to the reviews students leave on courses and how many students are taking a course in the first place. This course has a total of 14361 students which left 104 reviews at an average rating of 4.55. Impressive!

Course length

9/10

We analyze course length to see if courses cover all important aspects of a topic, taking into account how long the course is compared to the category average. This course has a length of 4 hours 24 minutes, which is pretty short. This might not be a bad thing, but we've found that longer courses are often more detailed & comprehensive. The average course length for this entire category is 7 hours 54 minutes.

Overall score

7.3/10

This course currently has a bestcourses score of 7.3/10, which makes it a great course to learn from. On our entire platform, only 15% of courses achieve this rating!

Description

Welcome to the best online course on Recommendation Engine.

Master various recommendation engines including Content-based filtering, collaborative filtering, Singular value decomposition.

Recommender systems aim to predict users' interests and recommend product items that quite likely are interesting for them.

A recommendation engine is a type of data filtering tool using machine learning algorithms to recommend the most relevant items to a particular user or customer.

It operates on the principle of finding patterns in consumer behavior data, which can be collected implicitly or explicitly.


This course gives you a thorough understanding of the Recommendation systems.


In this course, you will cover

  • Introduction to Recommendation Engine.

  • Use cases of recommender systems.

  • Content-based filtering.

  • Filtering movies based on genres.

  • User-based collaborative filtering.

  • Item-based collaborative filtering.

  • Singular value decomposition using Surprise library.

  • and much, much more!


Not only this, you will also work on three very exciting projects such as


  • Project Course 1: Movie Recommender Systems

  • Project Course 2: Open Jobs Analyzer and Recommendation System

  • Project Course 3: Books Recommendation Engine.


I am always available to answer your questions and help you along your data science journey. See you in class!

You will learn to create a movie recommendation engine as well as a book recommendation engine and Open job analyzer system.

It will be fun working on such exciting projects.

You will see how easy it is to recommend new books or movies based on the user's past preferences.

Instructor Support - Quick Instructor Support for any queries.

I'm looking forward to see you in the course!


I guarantee you will love this course.

All the resources used in this course will be shared with you.

Don’t wait and Enroll now.

What you will learn

  • Learn about the different types of Recommender Systems.
  • Learn about Content based recommendation system.
  • Learn about Collaborative based filtering.
  • Learn about Singular Value Decomposition.
  • Learn recommending movies, books using the recommendation system.
  • Learn about Surprise Library for recommendation systems.
  • Learn how to use Correlation for Recommending similar Movies and Genres.
  • Learn how to use different Techniques used for Imputing Missing Values.
  • Practice Quizzes and Exercises of this course.
  • Project Course 1: Movie Recommender Systems.
  • Project Course 2: Open Jobs Analyzer and Recommendation System.
  • Project Course 3: Books Recommendation Engine.

Requirements

  • Good knowledge of Python programming.
  • Knowledge of Probability and Statistics concepts.
  • Knowledge of Machine Learning Algorithms.
  • A willingness to learn and practice.
  • A positive attitude to success.
  • Determination and Desire to Learn new things.
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Available on

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With almost 200,000 courses and close to 50 million students, Udemy is one of the most visited online learning platforms. Popular topics include software development, the digital economy, but also more traditional topics like cooking and music.

Frequently asked questions

  • Price: $19.99
  • Platform: Udemy
  • Language: English
  • 4 hours 24 minutes
Recommendation Engine Bootcamp with 3 Capstone Projects thumbnail

bestcourses score: 7.3/10

This course is better than many others in its category.