Learn How to Perform Feature Extraction from Graphs using DeepWalk
Overview Extracting features from tabular or image data is a well-known concept – but what about graph data? Learn how to extract features from …
Graphs & Networks
6 Exciting Open Source Data Science Projects you Should Start Working on Today
Overview Here are six open-source data science projects to enhance your skillset These projects cover a diverse set of domains, from computer vision to …
Let’s Think in Graphs: Introduction to Graph Theory and its Applications using Python
Graph theory has been around for decades. This article looks at it’s fascinating history and delves deeper into the wonderful world of graphs.
An Introduction to Graph Theory and Network Analysis (with Python codes)
Introduction “A picture speaks a thousand words” is one of the most commonly used phrases. But a graph speaks so much more than that. …
A Beginner’s Guide to Channel Attribution Modeling in Marketing (using Markov Chains, with a case study in R)
Introduction In a typical ‘from think to buy’ customer journey, a customer goes through multiple touch points before zeroing in on the final product …
Food for thought: How to Measure Influence in a Network?
A quick exercise Let’s say you are a customer service executive working for a bank (and the only one for this hypothetical case). You …
Application of PageRank algorithm to analyze packages in R
Introduction In the previous article, we talked about a crucial algorithm named PageRank, used by most of the search engines to figure out the popular/helpful pages on …
PageRank explained in simple terms!
In my previous article, we talked about information retrieval. We also talked about how machine can read the context from a free text. Let’s talk about …
