Soumalya Nandi – Medium

Soumalya Nandi

Oversimplifying Overfitting

Overfitting is a common hurdle that appears in ML models. This article describes the concept handling overfitting in lucid manner.

Jan 22, 2020

Oversimplifying Overfitting

Jan 22, 2020

Published in

TDS Archive

Classification using different Link function than logit, probit[Logistic Trilogy, part 3]

There are plenty of other functions that can be used as link functions for classification. Lets look into two such functions.

Sep 21, 2019

Classification using different Link function than logit, probit[Logistic Trilogy, part 3]

Sep 21, 2019

Published in

TDS Archive

Building own Logistic Classifier in R [Logistic Trilogy, part 2]

An independent article on how to build a logistic classifier in R without using inbuilt functions. It will solidify your grasp on logistic.

Sep 12, 2019

Building own Logistic Classifier in R [Logistic Trilogy, part 2]

Sep 12, 2019

Published in

TDS Archive

Logistic Regression- Derived from Intuition

Lets derive the logistic regression from scratch through a story telling. I hope it will be interesting and fun for you.

Jul 17, 2019

Logistic Regression- Derived from Intuition

Jul 17, 2019

Published in

TDS Archive

Maximum Likelihood Estimation from Bayes’ Theorem

Probably one of the most popular and easiest method of parameter estimation is ML estimation and Bayes’ theorem being a stand alone genius…

Jun 23, 2019

Maximum Likelihood Estimation from Bayes’ Theorem

Jun 23, 2019

Published in

TDS Archive

The Origin Of Data Science

This is a fictional and creative story of how Data Science evolved as a union of Statistics,ML,Deep Learning and Computer Science.

Jun 5, 2019

The Origin Of Data Science

Jun 5, 2019

Soumalya Nandi

Soumalya Nandi

Associate Data Scientist @UHG, Masters in Statistics @IIT. Creative writer, Love to tell stories about Data Science.

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