Learn Computer Vision Concepts Using Python

Learn how autoencoders are used for dimensionality reduction and feature extraction.

A Classification Approach, Making LLM Knowledge-Aware

… using rcParams

Jupyter Notebook for C/C++

A HashMap is a data structure that gives us fast insertions, deletions and searching. How fast are we talking? It’s O(1) for all the three…

Creating a complete digital twin of assets involves more complexity and often requires integration with specific hardware and sensors. Below is a simplified example using Python, Flask for the web…

A look under the hood of popular Python repositories on GitHub

Don't miss this post Because in this post I want to introduce a book A book to learn Python... This book explains this language in detail and is very complete

From Theory to Application: Bayesian Ridge Regression in Action

Free Python for Data Science 2024 course on YouTube. Ideal for beginners in tech. Subscribe now!

Mini PyTorch version using only NumPy/CuPy. NN and CNN based samples: ResNet, GAN, UNet, YOLO. Module 0: derivations.

Day 8 Follow-Up: Expand Your Python Skills With a Tutorial For Simple Text Analysis.

Python BASICS: A Beginner’s Tutorial for Word Counting

This post was written with the intention to display my skillset to potential employers or clients by describing a project done in my spare…

So, I have been learning Python and it is quite a struggle. The programming itself is not the hardest part, it is the setup on my computer…

In the unpredictable world of investing, market crashes can feel like unwelcome storms, sudden and unsettling. But what if you could sleep…

Django signals provide a way for decoupled components in a Django application to get notified when certain actions occur elsewhere in the…

Well, here’s to the second post in my #buildinpublic journey! If you missed the previous post, you can read it here.

Deploying Python + Selenium applications without the need for dockerize it.