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Develop Recommendation Engine With PYTHON

In this learning path, It will mostly cover all the easy to moderate kind of techniques with hands on experience.
/5
Created by Pranjal Srivastava

8.7

CourseMarks Score®

9.6

Freshness

N/A

Feedback

7.3

Content

Platform: Simpliv Learning
Price: $4.99
Video: 0h59m
Language: English
Next start: On Demand

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Detailed Analysis

CourseMarks Score®

8.7 / 10

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

Freshness Score

9.6 / 10
This course was last updated on 10/2020.

Course content can become outdated quite quickly.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 and the ratio between the number of reviews and the number of students, which is a great signal of student commitment. If a course does not yet have a rating, we exclude Feedback Score from the overall CourseMarks Score.

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: 7.5 / 10
The course includes 0h59m 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: 8.9 / 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

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.

Requirements

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

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

This course is for

• Anyone who owns or operates an Internet business
• Students in machine learning, deep learning, artificial intelligence, and data science
• Professionals in machine learning, deep learning, artificial intelligence, and data science

How much does the Develop Recommendation Engine With PYTHON course cost? Is it worth it?

The course costs $4.99. And currently there is a 80% discount on the original price of the course, which was $24.99. So you save $20 if you enroll the course now.

Does the Develop Recommendation Engine With PYTHON course have a money back guarantee or refund policy?

YES, Develop Recommendation Engine With PYTHON has a 20-day money back guarantee. The 20-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 Develop Recommendation Engine With PYTHON course, but there is a $20 discount from the original price ($24.99). So the current price is just $4.99.

Who is the instructor? Is Pranjal Srivastava a SCAM or a TRUSTED instructor?

Pranjal Srivastava has created 40 courses that got 48 reviews which are generally positive. Pranjal Srivastava has taught 156 students and received a 5 average review out of 48 reviews. Depending on the information available, Pranjal Srivastava is a TRUSTED instructor.

More info about the instructor, Pranjal Srivastava

I am passionate developer, machine learning enthusiast, coder and bug fixer. Developed many applications on various platforms including python, java, android, php, etc.

I have worked over cloud on IBM Bluemix, AWS, and Microsoft Azure. Prefer digital marketing and SEO in my free time.

I am IBM certified Python developer.

Created own Programming language in Hindi .

8.7

CourseMarks Score®

9.6

Freshness

N/A

Feedback

7.3

Content

Platform: Simpliv Learning
Price: $4.99
Video: 0h59m
Language: English
Next start: On Demand

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