Predictive Business Analytics   SOLVED PAPERS AND GUESS

Product Details: Rohtak   UNIVERSITY Predictive Business Analytics

Format: BOOK

Pub. Date: NEW EDITION APPLICABLE FOR Current EXAM

Publisher: MEHTA SOLUTIONS

Edition Description: 2021-22

RATING OF BOOK: EXCELLENT

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If you find yourself getting fed up and frustrated with other Rohtak   UNIVERSITY book solutions now mehta solutions brings top solutions for Rohtak   UNIVERSITY Predictive Business Analytics  REPORT book contains previous year solved papers plus faculty important questions and answers specially for Rohtak   UNIVERSITY .questions and answers are specially design specially for Rohtak   UNIVERSITY students .

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Predictive Business Analytics

UNIT-I
Introduction to Predictive Analytics: overview, business intelligence, predictive analytics in relation to business intelligence, statistics, data mining; Big data, importance in decision making; Setting up problem-CRISP-DM, business understanding, Defining data, target variable and measures of success for predictive modelling; Methodology of predictive modelling.
UNIT-II
Prediction Methods: Linear Regression- best subset selection, forward selection, backward selection, step-wise regression, Cp mallows and adjusted R-square criteria; k-Nearest Neighbours (k-NN); Regression TreesCART,CHAID; Neural Nets- architecture of neural nets, neurons, input layer, hidden layers, output layer.
UNIT-III
Classification Methods: the naïve rule, Naïve-Bayes classifier, K-Nearest neighbours, Classification Trees, Neural Nets, Logistic Regression.
UNIT-IV
Non-supervised Learning: Association Rules- support and confidence, the apriori algorithm, the selection of strong rules; Cluster Analysis- hierarchical methods, optimization and the k-means algorithm, similarity measures, other distance measures. Ensemble Methods: Nelson and Granger-Ramanathan methods for continuous targets, Majority voting for categorical targets, Bagging, Boosting.