Regression: Support Vector Regression(SVR), Decision Tree Regression, Random Forest Regression

Classification: Logistic Classification, K-Nearest Neighbors(K-NN), Support Vector Machine (SVM), Naive Bayes, Decission Tree Classification, Random Forest Classification, XgBoost, AdaBoost

Clustering: K-Means Clustering, Hierachical Clustering

Deep Learning: Artificial Neural Networks (ANN), Convolutional Neural Networks (CNN)

Dimensionality Reduction: Principal Component Analysis (PCA), Linear Discriminant Analysis (LDA)

Natural Language Processing (NLP)

fNIRs- looking at brain tissue function(Concentration of OxyHb and deoxyHb)

Biopac Data acquisition – To analysis EGG,EOG,EMG,ECG signal

Patient Monitoring system- (SPO2,Capnography,ECG,Pulse Oxymetry)