ORSP Holds Workshop on Predictive Analytics
Eighteen delegates from De La Salle Dasmariñas, University of the
East-Recto, University of Santo Tomas College of Commerce and Business,
De La Salle Lipa, University of Cordilleras, Holy Angel University,
Bulacan State University, Our Lady of Fatima University and San Miguel
Corporation participated in the Workshop on Predictive Analytics Using
XLStat organized by ORSP on June 17, 2017 at the Asia Pacific College in
Humabon Place, Magallanes, Makati City.
The morning session
was a lecture on: the Meaning of Predictive Analytics, Applications in
Marketing, Finance, Human Resources, Health Care, Law Enforcement, Fraud
Detection, Logistics, Government and Non-Profit and Human Language and
Thought, A short introduction on Machine Learning.
The Workshop
covered the various applications using the various tools available in
XLStat. Using Linear Regression, the class worked on the problem of
predicting home prices and customer demand. Cluster Analysis was used to
Predict Geographic Clusters using Population and then using Demographic
Dynamics. Decision Tree was illustrated with the use of an application
in Credit Scoring. Predicting Customer Churn with the use of Naive Bayes
tool was tackled next. The tool K Nearest Neighbor was used to see how
Breast Cancer can be predicted. Predicting Employee Attrition was
tackled with the use of Logistic Regression and lastly, Support Vector
Machine was used to predict Survivors of the Titanic.
Each
participant was able to work on the data sets preloaded in the computer.
All participants found the lecture and the workshop very relevant to
their work and gave good feedback on the conduct of the Workshop. The
Workshop materials were developed by ORSP Past President Francis
Miranda.
Posted on 30 Jun 2017 by admin