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Collaborative Filtering courses 15

Learn Collaborative Filtering online: university courses, full YouTube courses, and courses with free certificates, from the IITs, MIT, Harvard, Google, Microsoft and more.

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Showing 15 courses

DeepLearning.AI

Unsupervised Learning, Recommenders, Reinforcement Learning

4.95,741 ratings

In the third course of the Machine Learning Specialization, you will: • Use unsupervised learning techniques for unsupervised learning: including clustering and anomaly detection. • Build recommender systems with a collaborative filtering approach and a content-based deep learning method. • Build a…

  • Coursera
  • At the rate of 5 hours a week, it typically takes 3 weeks to complete this cour…
  • Self-paced
  • Paid certificate

IBM

Machine Learning: Capstone Project

Demonstrate your machine learning expertise in this IBM Capstone course. Apply Pandas, Scikit-learn, TensorFlow/Keras, and build a real-world course recommender system. Showcase your ML skills through this comprehensive hands-on project.

  • edX
  • 1 weeks, 23 - 27 hours per week
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

University of California, Irvine

Cluster Analysis, Association Mining, and Model Evaluation

4.547 ratings

Welcome to Cluster Analysis, Association Mining, and Model Evaluation. In this course we will begin with an exploration of cluster analysis and segmentation, and discuss how techniques such as collaborative filtering and association rules mining can be applied. We will also explain how a model can…

  • Coursera
  • 4 hours
  • Self-paced
  • Paid certificate

Google Cloud

Recommendation Systems on Google Cloud

This is the fifth and final course of the Advanced Machine Learning on Google Cloud series.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Intermediate

University of Minnesota

Nearest Neighbor Collaborative Filtering

4.3308 ratings

In this course, you will learn the fundamental techniques for making personalized recommendations through nearest-neighbor techniques. First you will learn user-user collaborative filtering, an algorithm that identifies other people with similar tastes to a target user and combines their ratings to…

  • Coursera
  • 13 hours
  • Self-paced
  • Paid certificate

Alison

Recommendation Engines in Marketing Analysis

2.34 ratings

This comprehensive guide will introduce you to understanding the functions of different recommendation engines and teach you how to use the recency, frequency, monetary (RFM) technique as a tool to segment customers in marketing analysis. It begins with an analysis of collaborative filtering in mar…

  • Alison
  • 5 hours
  • Self-paced
  • Free course
  • Paid certificate
  • Beginner

Sungkyunkwan University

Recommender Systems

In this course you will: a) understand the basic concept of recommender systems. b) understand the Collaborative Filtering. c) understand the Recommender System with Deep Learning. d) understand the Further Issues of Recommender Systems. Please make sure that you’re comfortable programming in Pytho…

  • Coursera
  • 4 weeks of study, 2 hours/week
  • Self-paced
  • Paid certificate

CodeSignal

Recommendation Systems Theory and Coding in JS

Master the essentials of building recommendation systems from scratch in JavaScript! This course covers collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects and real-world applications.

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

CodeSignal

Recommendation Systems Theory and Coding in Go

Master the essentials of building recommendation systems from scratch in Go! This course covers collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects and real-world applications

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

CodeSignal

Recommendation Systems Theory and Coding in C++

Master the essentials of building recommendation systems from scratch in C++! This course covers collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects and real-world applications

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Beginner

CodeSignal

Recommendation Systems Theory and Coding

Master the essentials of building recommendation systems from scratch! This course covers collaborative filtering, content-based methods, hybrid techniques, and evaluation metrics through hands-on projects and real-world applications

  • edX
  • Self-paced
  • Free to audit
  • Paid certificate
  • Advanced

University of Minnesota

Recommender Systems

Master recommender systems.

Learning path or series
  • Coursera
  • Self-paced
  • Paid certificate

EDUCBA

Project on Recommendation Engine - Advanced Book Recommender

4.726 ratings

Build a personalized hybrid book recommendation system using Python by combining collaborative filtering and content-based recommendation techniques. In this project-based course, you’ll develop a complete recommendation pipeline that turns user interactions and book data into meaningful, user-focu…

  • Coursera
  • 2 weeks of study, 3-4 hours/week
  • Self-paced
  • Paid certificate

EDUCBA

Recommendation Engine - Basics

4.630 ratings

Build a practical movie recommendation system using Python through a complete, hands-on workflow. You’ll begin by exploring recommendation system concepts, real-world applications, and the fundamentals of collaborative filtering. You’ll then configure your Python environment with Anaconda and the S…

  • Coursera
  • 2.5 hours
  • Self-paced
  • Paid certificate

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