Unsupervised-Machine-Learning

Most popular unsupervised Machine Learning algorithms from scratch with implementation using Scikit-learn and others library.

1. Clustering

1.1 KMeans Clustering

1.2 Heirarchical Clustering

1.3 Density-based Spatial Clustering of Applications With Noise (DBScan)

2. Dimensionality Reduction

2.1 Principal Component Analysis (PCA)

2.2 Linear Discriminant Analysis (LDA)

2.3 t-Distributed Stochastic Neighbor Embedding (t-SNE)

3. Anomaly Detection

3.1 Anomaly detection using Isolation Forest

3.1 Anomaly detection usning PyCaret

4. Association Rule Learning

4.1 Apriori

4.2 ECLAT

4.3 Frequent Pattern (FP)

4.4 Market Basket Analysis

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