Gourab Nath
Gourab Nath
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With a Master’s degree in Statistics and being extremely passionate about teaching, I started my career as a Faculty Member of Data Science and Analytics. I have been teaching Data Science and Analytics for the past 5 years and have traveled to various colleges and universities across the country. Currently, I am a core Faculty Member of Data Science at Praxis Business School. I have mentored plenty of students and guided several Capstone Projects. I am constantly working towards designing effective industry-relevant pedagogy to learn Data Science, which can help the students to connect the theories with the practices. I have appeared as a speaker in Cypher twice (2018 and 2019), which is one of the largest analytics summits in India organized by the Analytics India Magazine. I have also presented research papers in some reputed International Conferences and have received the “Best Paper” award for one of my conference publications. I had also been one of the key speakers in one National level FDP and delivered some MDPs for large corporates. Presently, I am focusing on engaging myself in research works and taking up consultancy projects.

Correcting Class Imbalanced Data For Binary Classification Problems (Demonstrations Using Animated Videos)

(A) Introduction This article assumes that the readers have some knowledge about binary classification problems. Consider a binary classification problem where the target variable is highly imbalanced. You may imagine problems like detecting fraudulent transactions, predicting attrition, cancer detection, etc.…

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