- Solving Regression & Classification using Decision Trees
- Root Node Attribute Selection for Decision Trees using Information Gain
- Bayesian Inference in Gene Expression Analysis
- Pattern Recognition Application using Bayesian Inference
- Bagging in Classification
- Bagging, Boosting applications using Regression Trees
- Data & Text Classification using Neural Networks
- Using Weka tool for SVM classification for chosen domain application
- Data & Text Clustering using K-means algorithm
- Data & Text Clustering using Gaussian Mixture Models
- Dimensionality Reduction Algorithms in Image Processing applications
- Application of CRFs in Natural Language Processing
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