🔍 1. What is Unsupervised Machine Learning? Unsupervised learning is a type of machine learning where the model is trained on data without labeled outputs . The goal is to find hidden patterns, structure, or relationships in the data. 🧠 2. Types of Unsupervised Learning Type Description Example Use Case Clustering Grouping similar data points into clusters Customer segmentation Dimensionality Reduction Reducing the number of features while preserving information Image compression, PCA Association Discovering rules that describe large portions of your data Market basket analysis Anomaly Detection Identifying rare items or events that differ from the norm Fraud detection 🧪 3. Top Unsupervised Learning Algorithms K-Means Clustering Hierarchical Clustering DBSCAN Principal Component Analysis (PCA) Autoencoders Apriori (Association Rule Mining) 🧰 4. Real-Time Dataset Example: Customer Segmentation (Mall Customers) Dataset : Mall Customers Dataset (Kagg...