Data Analytics and Prediction
Predictive modelling: process, regression and classification performance, discriminant methods, ROC analysis, and tree/rule ensembles.
Understand predictive modeling techniques for data analytics.
Apply data preprocessing techniques for big data.
Measure the performance of classification and regression models.
Use Classification Trees and Rule-Based Models in big data analytics.
Modules
References
Kuhn & Johnson, Applied Predictive Modeling, 2e, Springer, 2018.
Ankam Venkat, Big Data Analytics, Packt, 2016.
EMC Education Services, Data Science and Big Data Analytics, Wiley, 2015.
Wickham & Grolemund, R for Data Science, O'Reilly, 2017.
Joel Grus, Data Science from Scratch, O'Reilly, 2015.
James D. Miller, Statistics for Data Science, Packt, 2017.
Thomas Rahlf, Data Visualization with R: 100 Examples, Springer, 2017.