These are few practical implementations of fundamental machine learning algorithms
- Character recognition system using feature set Eucledian distance
- Bayes classifier for single feature
- Bayes classifier for multiple feature
- Character recognition system using CNN
- Text processing using Bayes’ classifier
- K-fold cross validation technique
- Multivariate linear regression classifier with gradient descent
- Logistic regression classifier with gradient descent
- K Nearest Neighbor classifier with normalization technique
- Weighted K Nearest Neighbor classifier
- PCA to perform dimensionality reduction
- K Means clustering algorithm