A repository that contains assignments of fundemental ML courses from The School of Electrical Engineering University of Belgrade

1. Classification algortihm implementations:

• Bayesian classificators implementation.
• Hypothesis based classificators implementation.
• Parameter(Linear, quadratic) classificators implementation.
• Waldo's Sequantial hypothesis test
• Maximum Likelihood and K-Mean clusterizations algorithms
• Known output classificators

2. Speech recognition using:

• Short term energy and Zero crossing count for word segmentation
• Pitch frequency estimation, implementing paralel process and a autocorrelation estimator.
• Implementations of delta and compounding quantizers.
• LPC coeffs. as features
• K-Nearest Neighbour for classification