JNTUH B.Tech 4th year (4-2) Predictive Analytics (Associate Analytics -III) gives you detail information of Predictive Analytics (Associate Analytics -III) (Elective -II) R13 syllabus It will be help full to understand you complete curriculum of the year.<\/p>\n
Unit I<\/strong><\/p>\n Introduction to Predictive Analytics & Linear Regression (NOS 2101): What and Why Analytics, Introduction to Tools and Environment, Application of Modelling in Business, Databases & Types of data and variables, Data Modelling Techniques, Missing imputations etc. Need for Business Modelling, Regression \u2014 Concepts, Blue property-assumptions-Least Square Estimation, Variable Rationalization, and Model Building etc.<\/p>\n Unit II<\/strong><\/p>\n Logistic Regression (NOS 2101): Model Theory, Model fit Statistics, Model Conclusion, Analytics applications to various Business Domains etc. Regression Vs Segmentation \u2014 Supervised and Unsupervised Learning, Tree Building \u2014 Regression, Classification, Overfitting, Pruning and complexity, Multiple Decision Trees etc.<\/p>\n Unit III<\/strong><\/p>\n Objective Segmentation(NOS 2101): Regression Vs Segmentation \u2014 Supervised and Unsupervised Learning, Tree Building \u2014 Regression, Classification, Overfitting, Pruning and complexity, Multiple Decision Trees etc. Develop Knowledge, Skill and Competences (NOS 9005)<\/p>\n Introduction to Knowledge skills & competences, Training & Development, Learning & Development, Policies and Record keeping. etc.<\/p>\n