Machine
Learning
ML Types
1] Supervised ML
2] Unsupervised ML
3] Reinforcement ML
List
of Machine Learning Algorithm
a]
Regression Algorithm
- Linear Regression
- Polynomial Regression
- Poisson Regression
- Ordinary Least Squares (OLS) Regression
- Lasso Regression (Least absoulute selection and shrinkageoperator)
b]
Classification Algorithm
- Decision Tree
- Decision Stump
- Naive Bayes
- Gaussian Naive Bayes
- Bernoulli Naive Bayes
- Multinomial Naive Byes
- K Nearest Neighbours(KNN)
- Support Vector Machine(SVM)
- Linear Support Vector Classifier(SVC)
- NuSVC
- Stochastic Gradient Decent [SGD]Classifier
- Bayesian Network
- Logistic Regression
- Zero Rule(ZeroR)
- One Rule [OneR]
- Linear Discriminant Analysis [LDA]
- Quadratic Discriminant Analysis [QDA]
- Fisher’s Linear Discriminant
c]
Clustering
Algorithm
- K-Means Clustring
- K- Median Clustring
- Mean Shift Clustring
- K-Modes Clustring
- Fuzzy K-Modes
- Fuzzy C-Modes
- Mini batch K-Means Clustring
- Hierarchical Clustring
- Expectation Maximization
- DBSCAN
- Minimum Spanning Trees
- Quality Threashold
- Gaussian Mixture Model(GMM)
- Spectral Clustering
d]
Neural Network
- Perceptron
- Multilayer Perceptron(MLP)
- Recurrent Neural Network(RNN)
- Convolution Neural Network(CNN)
- Deep Belief Network(DBN)
- Hopfield Networks
- Learning Vector Quantization(LVQ)
- Stacked Autoencoder
- Boltzmann Machine
- Restricted Boltzmann Machine(RBM)
- Generative Adversarial Network(GANs)
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