Data and Analytics

A primer on logistic regression – Part I

In the real world, we often come across scenarios which requires to make decisions that result into finite outcomes, like

Written by: Pushpa Makhija
Published on: 08 Aug, 2016
AI and ML

A neat trick to increase robustness of regression models

The first predictive model that an analyst encounters is Linear Regression. A linear regression line has an equation of the

Written by: Jacob Joseph
Published on: 03 Aug, 2016
Data and Analytics

A brief primer on linear regression – Part III

In Part I, we learnt the basics of Linear Regression and in Part II, we have seen that testing the

Written by: Pushpa Makhija
Published on: 22 Jun, 2016
Data and Analytics

A brief primer on linear regression – Part II

In the first part, we had discussed that the main task for building a multiple linear regression model is to

Written by: Pushpa Makhija
Published on: 12 Jun, 2016
Data and Analytics

A brief primer on linear regression – Part I

Prediction has always been a curious topic in life due to a key attribute – the extreme human desire to

Written by: Pushpa Makhija
Published on: 26 May, 2016
Data and Analytics

How to treat missing values in your data : Part II

In the previous article, we discussed some techniques to deal with missing data. We will now look at an example

Written by: Jacob Joseph
Published on: 08 Apr, 2016

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