Unsupervised Learning

After this skill you can…

• Apply k-means and DBSCAN clustering
• Reduce dimensions with PCA and UMAP
• Use autoencoders for representation learning

Prerequisites

Watch (10 videos)

How to implement K-Means from scratch with Python

AssemblyAI · intermediate hands-on

→ Choose suitable clustering algorithms→ Evaluate clustering model performance

K-Means Clustering - The Math of Intelligence (Week 3)

Siraj Raval · beginner hands-on

→ Implement K-Means Clustering→ Compute Euclidean distance for data points

Statistical Learning: 12.R.3 Hierarchical Clustering

Stanford Online · beginner hands-on

→ Implement hierarchical clustering in R→ Evaluate clustering results→ Visualize cluster assignments

Mean Shift with Titanic Dataset - Practical Machine Learning Tutorial with Python p.40

sentdex · beginner hands-on

→ Implement Mean Shift clustering in Python→ Evaluate clustering results

Self-/Unsupervised GNN Training

DeepFindr · beginner hands-on

→ Train GNNs using unsupervised methods→ Evaluate the performance of self-supervised GNNs

Clustering with DBSCAN, Clearly Explained!!!

StatQuest with Josh Starmer · beginner hands-on

→ Identify clusters in data→ Apply clustering algorithms to real-world problems

Unsupervised Machine Learning - Flat Clustering with KMeans with Scikit-learn and Python

sentdex · beginner hands-on

→ Cluster data using KMeans→ Implement unsupervised learning with Scikit-learn

Automate Anomaly Detection Using Pycaret -Data Science And Machine Learning

Krish Naik · beginner hands-on

→ Implement anomaly detection using PyCaret→ Identify rare items in a dataset

Python Tutorial : Unsupervised Learning in Python

DataCamp · beginner hands-on

→ Apply clustering algorithms to real-world data→ Perform dimensionality reduction using PCA

Applied Unsupervised Learning in Python

Coursera · intermediate hands-on

→ Apply unsupervised learning algorithms→ Explore unlabelled data

Read (10 articles)