Source: custify

If you are new to this world of churn prediction, let’s start with a brief intro. Churn prediction is the process of predicting whether a particular user is going to leave your platform / stop using your product in the next X months / days and more importantly perform specific measures to prevent the user from leaving (“customer churn”).

There can be multiple reasons why a customer is leaving your product. It can be due to

How to predict customer churn?

User data plays an important role here. To predict a particular user…

Image Source: darknet github repo

If you have been keeping up with the advancements in the area of object detection, you might have got used to hearing this word ‘YOLO’. It has kind of become a buzzword.

What is YOLO exactly?

YOLO (You Only Look Once) is a method / way to do object detection. It is the algorithm /strategy behind how the code is going to detect objects in the image.

The official implementation of this idea is available through DarkNet (neural net implementation from the ground up in C from the author). It is available on github for people to use.

Earlier detection frameworks, looked at different…

Image Source: Google Images

If you are into any sort of image processing, computer vision or machine learning, chances are high that you might have come across/used dlib somewhere in your journey.

According to dlib’s github page, dlib is a toolkit for making real world machine learning and data analysis applications in C++. While the library is originally written in C++, it has good, easy to use Python bindings.

I have majorly used dlib for face detection and facial landmark detection. The frontal face detector in dlib works really well. It is simple and just works out of the box.

This detector is based…

Source: Google Images

This is from a long time Ubuntu user who recently picked up a MacBook Air for all the portability it has to offer.

I am completely new to macOS. I had to look around and experiment to install all the packages I was enjoying on Ubuntu. I decided to put together a simple setup guide to get the deep learning environment (particularly for Computer Vision) up and running on macOS the easy way.

I am documenting the process I followed to get things working. Some of the process may not be the efficient / optimized way but the goal here…


If you are someone like me, you have been seeing the word UPI at many places lately, but do not know what exactly it is and how it is relevant to you. Don’t worry. I got you covered.

Meanwhile, if you are someone who already knows about UPI and indeed using it, you might think ‘Does someone really need to write an article on this ? It’s really simple’. Well, you are right bro. It’s super simple. If you know it. I call myself a tech enthusiast but only recently I got myself a VPA (Virtual Payment Address) and made…

Arun Ponnusamy

Lifelong learner. Curious about everything. Computer Vision/Machine Learning Enthusiast.

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