Guest Blog

Hiring the Right Data Scientist – The Needle in a Haystack Problem

Hiring the right data scientist has proven to be quite challenging for organisations. What are some of the pitfalls hiring managers face? What makes a good data scientist? We cover all of this in this article.

Data Science in the Indian Agriculture Industry

In this article discover the role of Data Science in the agriculture industry and find out what is smart farming, its components and precision agriculture.

An Introduction to Graph Theory and Network Analysis (with Python codes)

This article is an introduction to graph theory and network analysis. Learn about graph theory concepts, its applications and graphs in python.

Demystifying Information Security Using Data Science

Using Data? Master the Science in Data Science

Have a look at what the science in data science actually means. It's an integral understanding every data scientist should have in their field of work.

A Beginner’s Guide to Channel Attribution Modeling in Marketing (using Markov Chains, with a case study in R)

What is channel attribution and how does it tie into Markov Chains? Understand channel attribution modeling with case study of an e-commerce company.

A Step Towards Reproducible Data Science : Docker for Data Science Workflows

Docker allows you to create reproducible workflows as a data scientist. This is an introductory guide to get started on use of docker for data science.

Introductory guide to Linear Optimization in Python (with TED videos case study)

An introduction to linear optimization and example of utilizing linear optimization techniques in python to create a video watch list of TED videos.

Bollinger Bands and their use in Stock Market Analysis (using Quandl & tidyverse in R)

Article describes Bollinger bands and their applications to stock market analysis using Quandl, Tidyverse packages in R and is applied in intra day trading

Tutorial to deploy Machine Learning models in Production as APIs (using Flask)

In this article, learn how to deploy a machine learning model in production using Flask framework in Python.