Saves 80% of the time spent by Data Scientists — Xverse short for X Universe is a python package for machine learning to assist Data Scientists with feature transformation and feature selection. Before we talk about the details of the package, let us understand why we need one. Background

Speech recognition is a fun task. A lot of API resources are available in market today which makes it easier for user to opt for one or another. However, when it comes to audio files especially call center data, the task becomes little challenging. Let’s make an assumption that a…

Did you like what you saw on the Kelly Movie Bot video? If the answer is “Yes” and you want to implement a chatbot, you can start reading this article. This article is very detailed. I split the entire article into parts. So, sit back and…

Voice based devices/applications are growing a lot. Today, there are Google Assistant, Alexa which takes our voice as input, process them and perform actions based on it. It uses state of art process in Speech to Text, Natural language understanding, deep learning and Text to speech. …

Predictive modeling is always a fun task. The major time spent is to understand what the business needs and then frame your problem. The next step is to tailor the solution to the needs. As we solve many problems, we understand that a framework can be used to build our…

Variable selection is one of the key process in predictive modeling process. It is an art. To put is simple terms, variable selection is like picking a soccer team to win the World cup. …

Weight of evidence (WOE) and Information value (IV) are simple, yet powerful techniques to perform variable transformation and selection. These concepts have huge connection with the logistic regression modeling technique. It is widely used in credit scoring to measure the separation of good vs bad customers. The formula to calculate…