Unsupervised Learning

1. 1Read about unsupervised learning on Medium to understand its fundamentals
2. 2Explore examples of unsupervised learning algorithms such as k-means and hierarchical clustering
3. 3Apply unsupervised learning techniques to a dataset using a library like scikit-learn
4. 4Visualize the results of unsupervised learning using dimensionality reduction techniques like PCA or t-SNE
5. 5Compare the performance of different unsupervised learning algorithms on a given dataset

Data scientists and machine learning engineers can benefit from understanding unsupervised learning to improve their models and workflows

💡 Unsupervised learning allows machines to identify patterns and relationships in data without prior labeling or supervision

🤖 Unsupervised learning is a key method in machine learning! Learn how it works and improve your models 📊