https://github.com/analyticalnahid/unsupervised-machine-learning
Most popular unsupervised Machine Learning algorithms from scratch with implementation using Scikit-learn & others library
https://github.com/analyticalnahid/unsupervised-machine-learning
machine-learning-algorithms machinelearning-python unsupervised-clustering unsupervised-feature-learning unsupervised-learning unsupervised-learning-algorithms unsupervised-machine-learning
Last synced: 2 months ago
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Most popular unsupervised Machine Learning algorithms from scratch with implementation using Scikit-learn & others library
- Host: GitHub
- URL: https://github.com/analyticalnahid/unsupervised-machine-learning
- Owner: analyticalnahid
- License: mit
- Created: 2022-08-26T17:45:25.000Z (almost 3 years ago)
- Default Branch: master
- Last Pushed: 2022-08-31T14:07:33.000Z (almost 3 years ago)
- Last Synced: 2025-02-02T12:37:36.767Z (4 months ago)
- Topics: machine-learning-algorithms, machinelearning-python, unsupervised-clustering, unsupervised-feature-learning, unsupervised-learning, unsupervised-learning-algorithms, unsupervised-machine-learning
- Language: Jupyter Notebook
- Homepage:
- Size: 10.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
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Metadata Files:
- Readme: README.md
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README
# 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
## 🔗 Links
Connect with me:
