Information of news
26-06-2021, 03:45

Recommendation Engine Bootcamp with 3 Capstone Projects

Category: Tutorials

Recommendation Engine Bootcamp with 3 Capstone Projects
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Genre: eLearning | Language: English + srt | Duration: 59 lectures (3h 1m) | Size: 2.77 GB


Master recommendation systems Industry Projects using using modern recommendation techniques and methodologies
What you'll 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

Good knowledge of Python programming
Knowledge of Probability and Statistics concepts
Knowledge of Machine Learning Algorithms

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

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.

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

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.

I guarantee you will love this course.

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

Who this course is for
Data Analysts
Data Scientists


Site BBcode/HTML Code:
Dear visitor, you went to the site as unregistered user.
We recommend you Sign up or Login to website under your name.
Would you like to leave your comment? Please Login to your account to leave comments. Don't have an account? You can create a free account now.

Tag Cloud

archive of news