Each folder contains a few projects for a week.
W1 :
Logistic Regression, Closed form and Gradient Descent implementation of Linear Regression
W2:
Logistic, Softmax Regression (Multiclass Classification), and Bayesian Classification
W3:
Bayesian Classification, Naïve Bayes Classification
W4:
Non-Parametric Density Estimation
a) Histogram
b) Parzen Window
c) Gaussian kernel
d) KNN Estimator
and PCA
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Arminkhayati/Statistical_Pattern_Recognition
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Statistical pattern recognition course projects from shiraz university.
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