Month: January 2016

Dealing with Unbalanced Class, SVM, Random Forest and Decision Tree in Python

So far I have talked about decision trees and ensembles. But I hope, I have made you understand the logic behind these concepts without getting too much [...]

Expert interview with Ron Shevlin about the role of big data in banking

I recently interviewed Ron Shevlin, Director of Research at Cornerstone advisors, for Big data made simple, Crayon’s big data information portal. We [...]

A conversation with ChiefMartec’s Scott Brinker

Can you tell us a little bit about your career path, and what lead you to become a marketing technologist?  Honestly, serendipity. I started my career [...]

Gartner predicts five big data trends that will dominate 2016

Gartner has predicted 5 strategic technologies for 2016. Highlights include, the importance of machine learning, artificial intelligence, the Internet of [...]

Step by step approach to perform data analysis using Python

So you have decided to learn Python, but you don’t have prior programming experience. So you are confused on where to start, and how much Python to learn. [...]

Exploratory data analysis in python using pandas, matplotlib and numpy

You already know that Pandas is a power tool for data munging. In this tutorial, I will show you how to explore a data set using Pandas, Numpy and [...]