Python Implementation of Various Machine Learning Algorithms.
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Unsupervised Learning
- Locally Linear Embedding
- Gaussian Mixture Models
- K-Means Clustering
- Principal Component Analysis
- Agglomerative Clustering
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Supervised Learning
- Linear Regression
- Kernel Ridge Regression
- Support Vector Machines
- Linear Discriminant Analysis
- Locally Linear Embedding
- Gaussian Mixture Models
- K-Means Clustering
- Principal Component Analysis
- Linear Regression
- Kernel Ridge Regression
- Support Vector Machines
- Linear Discriminant Analysis
- Agglomerative Clustering