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diksha tiwari
diksha tiwari

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Published in Towards Data Science

·22 hours ago

Causal Inference Using Synthetic Control

Exploring one of the latest quasi-experimentation techniques — It is widely accepted that A/B testing is the gold standard for causal inference. Also known as Randomized Controlled Tests (RCTs), these tests involve splitting the subjects randomly into treatment and control units. This ensures that any difference between the units is due to…

Data Science

9 min read

Causal Inference Using Synthetic Control
Causal Inference Using Synthetic Control
Data Science

9 min read


Published in Towards Data Science

·Oct 10

Explainable Boosting Machine: Bridging the Gap between ML and Explainability

What is explainability and why is it important? — What is explainability and why is it important? AI has evolved over the last couple of decades and has found applicability in various domains, including critical systems such as healthcare, the military, banking, and self-driving cars. However, more often than not, the black-box nature of many machine learning models hinders their adoption. For instance, in business, an application…

Explainable Ai

7 min read

Explainable Boosting Machine: Bridging the Gap between ML and Explainability
Explainable Boosting Machine: Bridging the Gap between ML and Explainability
Explainable Ai

7 min read


Published in Towards Data Science

·Jun 12, 2020

HR Analytics and the Art of Testing Hypotheses!

As technology spreads its roots in the HR department and tech giants start exploring the endless possibilities that AI and ML can bring to HR , the simple art of testing a hypothesis could still go a long way in helping HR make meaningful and impactful deductions. What is the…

Hr Analytics Tools

5 min read

HR Analytics and the Art of Testing Hypotheses!
HR Analytics and the Art of Testing Hypotheses!
Hr Analytics Tools

5 min read

diksha tiwari

diksha tiwari

21 Followers

MBA @ IIM Ranchi| Business Analytics @ Purdue| Marketing Data Scientist @ JPMC

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