Lab 1- Descriptive measures of statistics and perform correlation and regression analysis.
Lab 2- Proximity measures, distance matrix, distance measures, cosine similarity and graphical analysis of data.
Lab 3- Different types of t-test: One Sample t-test, Two Sample t-test, Paired t-test.
Lab 4- ANOVA test: One Way ANOVA, Two Way ANOVA.
Lab 5- Different types of Regressions: Linear Regression, Multiple Regression, Curvilinear Regression, Power Curve Regression, Lasso and Ridge Regression.
Lab 6- Different classification models: K-NN Classifiers, Naive Bayes Classifiers, Decision Trees, Support Vector Machines (SVM’s).
Lab 7- Logistic Regression.
Lab 8- Association Rule Mining: Apriori Algorithm, FP Growth