18Apr

How to Upload Images and Videos to Cloudinary in Your Node.js Application: Step-by-Step Tutorial

In this detailed tutorial, I will demonstrate how to upload images and videos to Cloudinary within a Node.js application. I’ll personally guide you through configuring your Cloudinary account and integrating the necessary packages into your application. Subsequently, we’ll delve into the implementation details, and I’ll provide code snippets to help you navigate the uploading process.

15Apr

Unsupervised Sentiment Analysis using VADER and Flair

In the realm of sentiment analysis, there are two primary approaches, supervised and unsupervised learning. Supervised learning means you need a labeled dataset to train a model, while unsupervised learning does not depend on labeled data.

09Apr

JavaScript Closures and Scoping: Understanding Execution Context and Variable Hoisting

Scoping in JavaScript is a set of rules and mechanisms that govern the visibility and accessibility of variables, functions, and objects in the code. Scoping creates a hierarchical structure for variable and function access, which is important for controlling how and where identifiers can be accessed or modified. JavaScript supports two types of scoping: global and local.

06Apr

Swarm Intelligence: Infusoria Slipper

I set a research goal for myself: to understand the most optimal decision-making algorithms at each level of task-setting, and to move from simpler solutions to more and more complex ones as the external environment becomes more complicated.

05Apr

NLP Preprocessing using Spacy

I have worked on a number of NLP projects and after collecting the data the biggest challenge is the pre-processing. Since the text data available on the internet is often highly unstructured, contains unwanted symbols, repeated characters, contains different forms of the same root word, etc.

31Mar

Learn how to deploy an ML model to the web

I’ve worked as a web developer for a while, and most times, I’m amazed at how web apps such as Facebook and Instagram are able to detect and recognize objects in images. I reckon a machine learning model like MobileNet makes this possible, but how do you deploy this model to the web?