Unsupervised Learning Courses and Certifications

Unsupervised Learning in Python

1164 ratings at DataCamp

Say you have a collection of customers with a variety of characteristics such as age, location, and financial history, and you wish to discover patterns and sort them into clusters.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Unsupervised Learning in R

107 ratings at DataCamp

Many times in machine learning, the goal is to find patterns in data without trying to make predictions.

• DataCamp
• 4 hours
• Self-Paced
• Free Trial Available

Brown University;  Georgia Tech

Machine Learning: Unsupervised Learning

3 ratings

Ever wonder how Netflix can predict what movies you'll like? Or how Amazon knows what you want to buy before you do? The answer can be found in Unsupervised Learning!

• Udacity
• 5 hours
• Self-Paced
• Free Online Course

Intro to Unsupervised Machine Learning

Cluster and compress the Iris dataset: apply K-means, DBSCAN, PCA, ICA, and t-SNE, tune their parameters, and implement each method from scratch.

• CodeSignal
• 5 hours
• Self-Paced
• Free Certificate

Unsupervised Learning and Clustering

Implement k-Means, mini-batch k-Means, PCA, and DBSCAN from scratch while visualizing clusters and evaluating clustering quality.

• CodeSignal
• 3 hours
• Self-Paced
• Free Certificate

DeepLearning.AI;  Stanford

Unsupervised Learning, Recommenders, Reinforcement Learning

5739 ratings at Coursera

Apply clustering and anomaly detection, build recommender systems with collaborative filtering and content-based deep learning, and train a deep Q-learning agent to land a lunar lander.

• Coursera
• 3 weeks, 9 hours a week
• Self-Paced
• Paid Course

Applied Unsupervised Learning in Python

Apply unsupervised learning in Python: reduce dimensions with PCA and t-SNE, cluster with k-means and DBSCAN, model topics with LDA, and impute missing data.

• Coursera
• 4 weeks, 8 hours a week
• Self-Paced
• Paid Course

Unsupervised Machine Learning

372 ratings at Coursera

Cluster unlabeled data and reduce dimensions with k-means, distance metrics, PCA, kernel PCA, multidimensional scaling and matrix factorization, then compare models in a final project.

• Coursera
• 7 weeks, 3 hours a week
• Self-Paced
• Paid Course

Introduction to Machine Learning: Unsupervised Learning

19 ratings at Coursera

Uncover structure in unlabeled data: apply PCA and scree plots, cluster with K-means and dendrograms, and complete missing matrices for recommender systems.

• Coursera
• 5 weeks, 3 hours a week
• Self-Paced
• Paid Course

Unsupervised Deep Learning in Python

2475 ratings at Udemy

Autoencoders, Restricted Boltzmann Machines, Deep Neural Networks, t-SNE and PCA

• Udemy
• 10 hours 3 minutes
• Self-Paced
• Paid Course

Machine Learning for Data Analysis: Unsupervised Learning

1636 ratings at Udemy

Machine Learning made simple with Excel! Unsupervised learning topics for advanced data analysis & business intelligence

• Udemy
• 2 hours
• Self-Paced
• Paid Course

Unsupervised Learning and Its Applications in Marketing

Apply unsupervised learning to marketing data in Python: cluster with k-means, hierarchical and DBSCAN, reduce dimensions with PCA and t-SNE, detect anomalies, and build RBM recommenders.

• Coursera
• 12 weeks, 2 hours a week
• Self-Paced
• Paid Course

Machine Learning: Unsupervised Models

This course introduces key unsupervised machine learning techniques and explains how to choose the best algorithm for your data. Learn clustering and dimensionality reduction to find insights in unlab

• edX
• 1 week, 20-24 hours a week
• Self-Paced
• Free Online Course (Audit)

Automated Structure Discovery: Unsupervised Learning: Wolfram U Class

Extract structure from data with Wolfram Language: cluster using FindClusters and ClusteringTree, classify new samples with ClusterClassify, and explore feature space via FeatureExtract and DimensionReduce.

• Wolfram U
• 30 minutes
• Self-Paced
• Free Online Course

Data Science Courses

Data Visualization and Unsupervised Learning - STAT 841 Winter 2017

Master advanced unsupervised learning techniques including PCA, clustering, dimensionality reduction, and neural networks through comprehensive university lectures by Ali Ghodsi.

• YouTube
• 16 hours 57 minutes
• Self-Paced
• Free Video