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Assignment of Pattern recognition and neural network in python
• Bayes’s Classifier with several Class Conditional Densities such as Gaussian, GMMs (Have to code up EM)
• Bayes’s Classifier with different density estimates (ML, MAP and Parzen Window and nearest neighbor estimates)
• K-Nearest Neighbor and Naive Bayes classifiers
• Linear Models - Linear Classification/Regression, Linear Models with Polynomial
Kernels, Logistic Classifier/Regression, Fisher LDM
• All the Linear Models with different Regularizers such as L1, L2 and Elastic
• GMM for the
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Bangalore
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