MS261 Predictive Analytics & Big Data

Unit 1 [Book]
Data Processing for Predictive Analysis	VIEW
Data Transformation	VIEW
Min-Max Normalization	VIEW
Z- Score Standardization	VIEW
Transformations to Achieve Normality	VIEW
Graphical and Numerical Methods for identifying outliers	VIEW

Unit 2 [Book]
Predictive Analytics	VIEW
Multiple Regression and Model Building	VIEW
Logistic Regression	VIEW
Neural Networks	VIEW
Naïve Bayes and Bayesian Networks	VIEW
Model Evaluation Techniques	VIEW

Unit 3 [Book]
Introduction to Big Data & Analytics: What is Big Data?	VIEW
Characteristics and Evolution of Big Data	VIEW
Traditional Business Intelligence (BI) Versus Big Data	VIEW
Terminologies used in Big Data Environments	VIEW
Analytics Flow for Big Data, Big Data Stack	VIEW

Unit 4 [Book]
Big Data Analytics	VIEW
Working with big data analytics tools: NoSQL, Hadoop, MapReduce, MongoDB and Cassandra	VIEW
Hands-on practical learning on these tools	VIEW