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vtucircle » Predictive Analytics 21AI743

Predictive Analytics 21AI743

Predictive Analytics 21AI743

Download VTU notes model paper previous year paper and solution of 2021 scheme for Predictive Analytics 21AI743…

Predictive Analytics 21AI743

Course Code: 21AI743

Credits: 03

CIE Marks: 50

SEE Marks: 50

Total Marks: 100

Exam Hours: 03

Total Hours of Pedagogy: 40H

Teaching Hours/Weeks: [L:T:P:S] 3:0:0:0

Introduction to Predictive analytics: Business analytics types, applications, Analytical Techniques, Tools.

Predictive Modelling: Propensity Models, Cluster Models, Applications.

Modelling Techniques: Statistical Modelling, Machine Learning, Empirical Bayes Method, Point Estimation.

Data Pre-processing: Data Transformations for Individual Predictors, Data Transformation for Multiple Predictors, Dealing with Missing Values, Removing Predictors, Adding Predictors, Binning Predictors. Over-Fitting and Model Tuning.

Regression Models: Measuring Performance in Regression Models – Linear Regression and Its Cousins -Non-Linear Regression Models – Regression Trees and Rule-Based Models Case Study: Compressive Strength of Concrete Mixtures.

Classification Models: Measuring Performance in Classification Models – Discriminant Analysis and Other Linear Classification Models – Non-Linear Classification Models – Classification Trees and Rule-Based Models – Model Evaluation Techniques.

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K.R.VIVEK
K.R.VIVEK
17-01-2025 4:12 PM

DO YOU HAVE ANY IMPORTANT QUESTIONS FOR THIS SUBJECT
IF YES KINDLY HELP ME WITH THIS

nuthan
nuthan
Reply to  K.R.VIVEK
09-05-2025 6:27 PM

can you upload question paper

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