Active Hackathon

Sourabh Mehta

Sourabh Mehta

Sourabh has worked as a full-time data scientist for an ISP organisation, experienced in analysing patterns and their implementation in product development. He has a keen interest in developing solutions for real-time problems with the help of data both in this universe and metaverse.
Developers Corner

A hands-on guide to principal component regression in Python

Principal Components Regression (PCR) is a technique for analyzing multiple regression data that suffer from multicollinearity. Principal components regression reduces errors in regression estimates by adding a degree of bias

Developers Corner

How can genetic algorithms be applied to supply chain optimization?

Genetic Algorithms (GA) are a special set of evolutionary algorithms, these algorithms try to simulate the evolution of biology evolution but in the domain of numbers. Implementing this kind of progressive based algorithm in Supply Chain Management could help to solve the complexity of SCM that has been increased over time.

Developers Corner

A guide to different bias mitigation techniques in machine learning

Bias is the inability to capture the true relationship between the data and the learning line by the machine learning algorithm. It can’t be completely resolved but it could be decreased to a minimum level so that there is a balance between the bias and the variance.

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