Semester -1
Assignments and source code of Machine learning
#1 Comparison of kNN, GMM random forest and support vector machines approaches: For the data set you have selected, compare classification performance using the kNN, random forest and support vector machines approaches. Use the MATLAB tools to implement these classifiers. Produce a table comparing performance for all these classifiers.
#2 Predict Stock market analysis - The obtained results showed that the proposed model has better prediction accuracy and the potential of PSO (Particle swarm optimization) algorithm in optimizing LS-SVM( Support vector Machine).
DSP Project & Source code in Matlab
ASSIGNMENT DATABASE Management