Workshop on Logistic Regression through 'Orange: A Data Mining Toolkit’

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RESOURCE PERSON AND BRIEF DETAILS 

Dr. Ajay Kumar Chauhan
Assistant Professor, IMT, Ghaziabad

His areas of specialization are Security Analysis and Portfolio Management, Financial Econometrics, Financial Risk Management and Business Research Methods. His research interests are in the fields of Risk Management, Derivatives, and Corporate Finance. He has published several research papers in acclaimed journals.

The Institute of Management organized a workshop for the students and the faculty members of CHRIST (Deemed to be) University, Delhi, NCR Campus on Logistic Regression through Orange, an open-source data mining, data visualization and machine learning toolkit. It features a visual programming front-end for explorative data analysis, interactive data visualization and can be used as a Python library.
The key learnings from this session were:-
•        Insights on logistic regression and linear probability model. Logistic Regression is a technique borrowed by machine learning from the field of statistics. This is a very effective algorithm, used for problem classification and predictive analytics.
The resource person explained it using examples from different fields to give the students a clear understanding about the logistic regression concept.
•        The resource person introduced the ‘Orange’ software by giving insights on ‘How to use Orange software’, classification and clustering of data and the forecasting and link analysis of data into useful information.

The session was summarized with the help of a case study.

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