In this article, we would first cover the traditional TF-IDF approach for document classification. TF-IDF stands for term frequency-inverse document frequency. TF-IDF is a numerical statistic often used as a weighing factor for words in a document, and as a proxy for how important a word in a document is in relation to ...

PyTorch is an open source deep learning framework that is used as a base for many modern machine learning applications such as computer vision and Natural Language Processing. It is the Python implementation of the Torch library built in Lua. If you are familiar with the popular transformers library from ...

This article is the continuation of our previous article where we built a simple machine learning app to predict the species of a sample Iris flower. In the previous article, we learned how to create this application from scratch (with Django and React) and we also learned how to put our ...

Prerequisites

Familiarity with Python, JavaScript, HTML, CSS and some basic Linux commands. Although I would try to explain everything as much as I can, if you have some difficulty in understanding any concept please refer to the official documentation of Django, React, Docker, or any other documentation as necessary.

You would ...

In this post we are going to show how to create a cool looking ratings chart in Microsoft Power BI. The chart is below. The chart is best viewed in a touch screen (the vertical scroll bar would disappear).  Note: if you see a message "app.powerbi.com’s ...