Supervised Learning Algorithms:
- Linear Regression with single feature
- Linear Regression with multiple features
- Logistic Regression for binary classification
- Logistic Regression for multi classification
- Single Layer Perceptron Model
- Multi layer perceptron Model
- Perceptron with sigmoid neuron
Unsupervised Learning Algorithms:
- K-mean Clustering
- K-medoid Clustering
- Fuzzy C means Clustering
- Self-organizing Map (1D)