In the previous post, we saw how I trained an image classification model, starting from data preparation to training different iterations of the model, both using Convolutional Neural Networks(CNNs) and Transfer Learning to get a final model which classifies US dollar bills. …

End-to-End machine learning is concerned with preparing your data, training a model on it, and then deploying that model. The goal of this two part series is to showcase how to develop and deploy an end-to-end machine learning project for an image classification model and using Transfer Learning. Although there…

The three main categories of Data Science are Statistics, Machine Learning and Software Engineering. To become a good Data Scientist, one needs to have a combination of all three in their quiver. In this post, I am going to talk about a Log Odds — an arrow from the Statistics…

AWS (Amazon Web Services) has become a common name in the industry these days and if you are working with Python, chances are that you are already familiar with Jupyter (previously iPython) Notebooks. …