- Understanding Data through Statistical and visualization techniques
- Identify data quality and handle missing value
- Data Preprocessing by Data Discretization Binning and Feature Subset Selection
- Attribute Transformation and Dimensionality Reduction
- Decision tree and its performance metrics
- Naive Bayes Classifier
- SVM
- K-means Clustering
- Association analysis using Apriori algorithm