Disclosure: when you buy through links on our site, we may earn an affiliate commission.

Learn how to create content based hotel recommendations

Learn how to create content based recommendations for hotels using Python and Jupyter
0.0
0.0/5
(0 reviews)
0 students
Created by Evergreen Technologies

8.9

CourseMarks Score®

10.0

Freshness

N/A

Feedback

7.3

Content

Platform: Udemy
Price: $11.99
Video: 1h 11m
Language: English
Next start: On Demand

Top Recommendation Engine courses:

Detailed Analysis

CourseMarks Score®

8.9 / 10

CourseMarks Score® helps students to find the best classes. We aggregate 18 factors, including freshness, student feedback and content diversity.

Freshness Score

10.0 / 10
This course was last updated on 3/2021.

Course content can become outdated quite quickly. After analysing 71,530 courses, we found that the highest rated courses are updated every year. If a course has not been updated for more than 2 years, you should carefully evaluate the course before enrolling.

Student Feedback

We analyzed factors such as the rating (0.0/5) and the ratio between the number of reviews and the number of students, which is a great signal of student commitment.

New courses are hard to evaluate because there are no or just a few student ratings, but Student Feedback Score helps you find great courses even with fewer reviews.

Content Score

7.3 / 10
Video Score: 7.7 / 10
The course includes 1h 11m video content. Courses with more videos usually have a higher average rating. We have found that the sweet spot is 16 hours of video, which is long enough to teach a topic comprehensively, but not overwhelming. Courses over 16 hours of video gets the maximum score.
Detail Score: 8.8 / 10

The top online course contains a detailed description of the course, what you will learn and also a detailed description about the instructor.

Extra Content Score: 5.5 / 10

Tests, exercises, articles and other resources help students to better understand and deepen their understanding of the topic.

This course contains:

0 article.
0 resource.
0 exercise.
0 test.

Table of contents

Description

Course Description
Learn to build a recommendation engine with Content-Based filtering
Build a strong foundation in Content-Based Recommendation Systems with this tutorial for beginners.
•Understanding of recommendation systems
•Types of recommendation systems
•Tokenization
•Stop words removal
•n-grams
•TF-IDF Vectorizer
•Cosine similarity algorithm
•User Jupyter Notebook for programming
A Powerful Skill at Your Fingertips  Learning the fundamentals of a recommendation system puts a powerful and handy tool at your fingertips. Python and Jupyter are free, easy to learn, have excellent documentation.
Jobs in the recommendation systems area are plentiful, and learning content-based filtering will give you a strong edge.  Content-based filtering has the advantage of recommending articles when you have a new app or site, and there are no users yet for the site.
Content-Based Recommendation Systems are becoming very popular. Amazon, Walmart, Google eCommerce websites are a few famous examples of recommendation systems in action. Recommendation Systems are vital in information retrieval, upselling, and cross-selling of products.  Learning Collaborative filtering with SVD will help you become a recommendation system developer who is in high demand.
Big companies like Google, Facebook, Microsoft, Airbnb, and Linked In are already using recommendation systems with content-based recommendations in information retrieval and social platforms. They claimed that using recommendation systems has boosted the productivity of the entire company significantly.
Content and Overview  
This course teaches you how to build recommendation systems using open-source Python and Jupyter framework.  You will work along with me step by step to build the following answers.
Introduction to recommendation systems.
Introduction to Collaborative filtering
Build a jupyter notebook step by step using item-based collaborative filtering
Build a real-world web application to recommend music

What am I going to get from this course?
•Learn recommendation systems and build a real-world hotel recommendation engine from a professional trainer from your own desk.
•Over 10 lectures teaching you how to build real-world recommendation systems
•Suitable for beginner programmers and ideal for users who learn faster when shown.
•Visual training method, offering users increased retention and accelerated learning.
•Breaks even the most complex applications down into simplistic steps.
•Offers challenges to students to enable the reinforcement of concepts. Also, solutions are described to validate the challenges.

Requirements

Requirementsnone

You will learn

✓ content based recommendations

This course is for

• Beginner Python developers who are curious about recommendations

How much does the Learn how to create content based hotel recommendations course cost? Is it worth it?

The course costs $11.99. And currently there is a 52% discount on the original price of the course, which was $24.99. So you save $13 if you enroll the course now.

Does the Learn how to create content based hotel recommendations course have a money back guarantee or refund policy?

YES, Learn how to create content based hotel recommendations has a 30-day money back guarantee. The 30-day refund policy is designed to allow students to study without risk.

Are there any SCHOLARSHIPS for this course?

Currently we could not find a scholarship for the Learn how to create content based hotel recommendations course, but there is a $13 discount from the original price ($24.99). So the current price is just $11.99.

Who is the instructor? Is Evergreen Technologies a SCAM or a TRUSTED instructor?

Evergreen Technologies has created 45 courses that got 377 reviews which are generally positive. Evergreen Technologies has taught 14,444 students and received a 3.5 average review out of 377 reviews. Depending on the information available, Evergreen Technologies is a TRUSTED instructor.

More info about the instructor, Evergreen Technologies

Software Mentor
Over 20 years of experience in  programming applications in Fortune 500 companies. I have written 2 books on software design patterns and performance tuning that are published on kindle, nook and ibooks.  So far I have taught react.js, nunit, Chatbot , several courses on machine learning and design patterns.  I have also been working in machine learning area for many years. My passion is leverage my years of experience to teach students in a intuitive and enjoyable manner. I spent many years at fortune 500 companies, developing and managing the technology that automatically delivers SaaS applications to hundreds of millions of customers.  I have started my own successful company, Evergreen Technologies in 2019, which focuses on online education. I have over 8000 students spread over 145 countries on Udemy. I am also available for technical consultation, resume screening and conducting technical interviews of candidates to expedite hiring.

8.9

CourseMarks Score®

10.0

Freshness

N/A

Feedback

7.3

Content

Platform: Udemy
Price: $11.99
Video: 1h 11m
Language: English
Next start: On Demand

Students are also interested in

Other courses by ​Evergreen Technologies

Get this widget on your website (for course creators):

Learn how to create content based hotel recommendations rating
Copy this code and paste it to your website:
<a href="https://coursemarks.com/course/learn-how-to-create-content-based-hotel-recommendations/" target="_blank" title="Learn how to create content based hotel recommendations on Coursemarks.com"><img border="0" src="https://coursemarks.com/widget/89.svg" width="200px" alt="Learn how to create content based hotel recommendations rating"/></a>