Update README.md

Author: niravnb

README.md

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 # Machine-Learning-Pattern-Recognition
-Machine Learning/ Pattern Recognition algorithms implementations
+Machine Learning / Pattern Recognition algorithms implementations
+
+Algorithms implemented:
+1. Singular Value Decomposition, Eigen Value Decomposition on images
+2. Polynomial Regression
+3. Bayesian Classifier on real & synthetic data
+4. Fisher discriminant based classifier on features of images
+5. Gaussian Mixture Model on Image dataset & Synthetic dataset
+6. Hidden Markov Model on MFCC TIDIGITS online handwritten dataset
+7. Dynamic Time Warping on MFCC TIDIGITS online handwritten dataset
+8. Principal Component Analysis on images of faces
+9. Bayes' classifier on Parzen window method using Gaussian kernel on Image dataset
+10. Fisher discriminant based classifier on Image dataset
+11. Perceptron based classifier on Image dataset
+12. Support vector machine based classifier (using linear kernel) on Speech and OCR data
+13. Multi-layer feed-forward neural network based classifier on Speech and OCR data
+
+
+
+Plots:
+1. Image Reconstruction
+2. Decision Boundaries
+3. Confusion Matrix
+4. Receiver Operating Characteristic (ROC) curve
+5. Detection Error Tradeoff (DET) curve