Understanding Bayes’ Theorem and Naive Bayes in Python: A Practical Guide from Theory to Spam Classifier If you’ve ever tried to explain Bayes’ theorem to someone at a party, you know the look you get. That glazed-over, polite nod that says “I’ll remember your name but not a single word you just said.” And yet, Bayes’ theorem is one of those quietly powerful tools in the machine learning toolbox that’s simultaneously simple, annoyingly subtle, and sneakily everywhere. To warm you up, let’s start with the simple example. Imagine you go to the doctor for a routine check-up, and they run a screening test for a rare condition.

Understand the fundamentals of Bayes’ Theorem and see its real-world application in #Python based text classification. #machinelearning

The thing with some machine learning tutorials is, you import the dataset, do some data processing, train the model and when you evaluate it.... BAM! You either have 100% accuracy or your laptop memory stays frozen in time.

#machinelearning #machinelearningtutorials

YouTube autodub feature sucks!

Mastering Image Processing using Python: 6 Hands-On Exercises to Enhance Your Skills - Machine Learning Site Explore the world of image processing using Python with our comprehensive guide. Dive into hands-on exercises that cover key techniques, from basic manipulations to advanced transformations. Elevate y...

Throwback to this gem 😅. Still makes me chuckle on the choice of pic that I used to explain image processing:
machinelearningsite.com/image-proces...

#pythonprojects #pythonprogramming #opencv

Why Complex Models Need More Data: Polynomial Fitting in Machine Learning You know how some people like to claim that the math we learn in high school has no real-world use? That it’s just a bunch of abstract equations you’ll never see again once you start working? Well, next time you hear someone say that, send them a link to this blog — because here’s a perfect counterexample. Story time! I’m currently working on a project that requires knowledge of the steering angle of a vehicle — a crucial parameter for several control and planning tasks. However, this value isn’t directly available on the…

Some say math is useless in real life. I say: try training a nonlinear model with five samples. Have a look at this.

I built a Wireguard VPN Server at Home with a Raspberry Pi — Now I can access my Home Network from Anywhere in the World. I had a Raspberry Pi lying around and wanted to do something actually useful with it—something more exciting than just another media server or a blinking LED project. So, naturally, I decided to build my own WireGuard VPN server at home. The goal? To access my entire home network securely from anywhere in the world, whether I’m on dodgy public Wi-Fi or just out and about. Turns out, setting up a VPN on a Pi is way easier than it sounds, and it opens up a world of possibilities—from grabbing files on my laptop to tinkering with projects remotely.

I turned my old Raspberry Pi into a VPN server. Now I can control my home network from a coffee shop in another city. Here’s how I did it and you can too.

YouTube video by Christian Lempa WireGuard installation and configuration - on Linux

Was struggling to set up Wireguard since days. Thanks to this video, was able to set up the connection in the first go: www.youtube.com/watch?v=bVKN...

#vpn #linux #wireguard

" #Programming is not just writing a bunch of lines for some desired output. It is a walk-through of disappointments, excitements, breaking your PC, and more. "

By someone who’s two errors away from renaming all their variables "var1, var2, ..."

Wrote a Python script to automate something I didn’t want to do. Now I maintain a Python script and still do the thing manually when it breaks.

#Python #AutomationFail #CodeStruggle

programming is just the art of adding bugs to an empty file

Was banging my head over my code all week:
Why the hell wouldn’t it work ?

Yesterday it finally ran — and now I’ve got a new problem:
Why the hell does it work ?

At this point, I’m 80% dev, 20% detective… and 100% confused.

#pythonprogramming #whydoIcode

Style Transfer in Python: 6 Brilliant Steps to Turn Code into Art with PyTorch You were probably supposed to be working on that feature ticket you promised your PM three sprints ago. But here you are, elbow-deep in convolutional layers, trying to make your dog look like a Monet painting. Bravo. In this project, you’ll take two images — this “content” image (of a donkey on a horse) and this “style” image (Van Gogh’s Starry Night) — and you’ll smash them together until the result looks something like this: Content + Style = Output that might trick your mom into thinking you’re an artist.

Turn your dog, your face, or your lunch into a Van Gogh painting — using nothing but Python, PyTorch, and mild emotional instability. I walk through what style transfer is, how it works (neural network), and give you the entire working code upfront.
#Python #PyTorch #NeuralNetworks #MachineLearning

OpenCV

Wrapping up my latest blog.
#Python #opencv

Not sure if it has anything to do with programming...

Cartoonify This: Effortlessly Turn Your Face into an Epic Cartoon with OpenCV Because nothing says “I’m an adult with responsibilities” like spending four hours cartoonifying your own face. Let’s be honest. At some point between debugging spaghetti code and microwaving yesterday’s coffee, we’ve all wondered: "What if I looked like a cartoon character?" You know, those smooth-skinned, big-eyed, endlessly expressive people who clearly don’t have to deal with legacy CSS or Jira tickets.

Turn your face into a hilariously cartoonified version of itself using OpenCV and Python. Learn how to cartoonify real-time webcam video using OpenCV and Python. A short yet fun tutorial on edge detection, color filtering, and live video effects.

Mastering Object Tracking with OpenCV in Python: A Hands-On Guide Imagine you're trying to follow a Formula 1 car as it races around a track. You don't care where the car started—you just want to keep your eyes glued to it as it zooms around corners. Now think of doing that with a computer, but instead of eyes, it has a camera. That's what object tracking is all about, and it looks something like this:

Want your computer to follow and monitor stuff around? Built this opencv object tracker with Python + OpenCV. Works well enough to brag about. #opencv #python

If you think vibe coding is the future, just question your entire life and all the decisions you made till now that ultimately ended up making you this stupid.
#vibecoding #smh

Fascinating how when you want to write some code from scratch, your mind goes blank. But when you see the code somewhere on the Internet, your mind goes like "yeah, I could've done that too."
#programming #programmerlife

Mastering SVM in Machine Learning: A Beginner-Friendly Tutorial If you've been wandering the wilds of machine learning long enough, you've probably run into the acronym SVM. Maybe you nodded along in that one meeting, pretending to know what it meant. Or maybe you do know, but every time someone says "support vector machine," you mentally file it away as "that one with the margin thing." Well, today we're putting an end to the mystery.

Mastering SVM in Machine Learning: A Beginner-Friendly Tutorial

If you've been wandering the wilds of machine learning long enough, you've probably run into the acronym SVM. Maybe you nodded along in that one meeting, pretending to know what it meant. Or maybe you do know, but every time someone…

We got 100 gorillas vs. 10,000 men. Now can we get 10 errors vs. 100 programmers?

Coding a simple Python script and calling it a productive day is currently one of my biggest problems.

Pathetic Programming 2: Are You Even a Real Python Programmer? Take This Useless Quiz to Find Out Welcome back to Pathetic Programming, the only blog series where we celebrate the glorious art of writing Python code that’s equal parts creative, chaotic, and completely unnecessary. This isn’t your average Python tutorial. No, this is where we write Python scripts that do everything from translating sentences into Emoji Shakespeare to simulating a toaster in the terminal. Because if programming isn’t at least a little bit stupid, what’s even the point?

I wrote this Python quiz—not to test knowledge, but to question your entire identity as a developer. It’s ridiculous, built with Python, and part of my Pathetic Programming series where I write code that serves zero practical purpose, but is weirdly fun.
If you’ve got 5 minutes, take the quiz:

Bagging and Pasting in Machine Learning: Enhancing Model Performance through Ensemble Methods In the previous blog on Ensemble Learning Explained, we explored the world of ensemble learning and how combining multiple models can often outperform even the most finely tuned single model. We looked at voting classifiers—arguably the most intuitive form of ensemble learning—where each model casts a vote and the majority wins. While voting is simple and surprisingly effective, it only scratches the surface of what ensemble methods can do.

Bagging and Pasting in Machine Learning: Enhancing Model Performance through Ensemble Methods

In the previous blog on Ensemble Learning Explained, we explored the world of ensemble learning and how combining multiple models can often outperform even the most finely tuned single model. We looked at…

Ensemble Learning Explained: How Voting Classifiers Boost Machine Learning Accuracy When you hear "ensemble," you might think of a band — a bunch of musicians, each playing their own instrument, somehow coming together to make magic. Machine learning borrows that same idea. Instead of betting everything on one model to get things right, ensemble learning lets a bunch of models work together, cover each other's weaknesses, and (hopefully) create something way better than any one model could pull off solo.

Most machine learning models work fine on their own — but what if we could make them work together and perform even better? That's exactly what Ensemble Learning does.
In my latest blog, I dive into how combining multiple models (just like a band of musicians) can create smarter, stronger systems —

PID Controller in Robotics—A Practical Deep Dive with Python and C++ If you’ve ever wondered how your robotic vacuum cleaner doesn’t slam into walls every time or how a self-driving car hugs curves without spinning out like a confused Beyblade, allow me to introduce the unsung hero behind the scenes: the PID controller. PID stands for Proportional-Integral-Derivative. Sounds fancy, I know—but don’t panic. It’s just a control algorithm that helps a system reach a desired goal smoothly and efficiently.

Learn how a PID controller works with Python and C++ examples. Understand tuning, visualization, and real-world use in robotics and self-driving cars.

How Do Self-Driving Cars See? A Deep Dive into Camera-Based Lane Detection Using Python and OpenCV If you think your Tesla is watching you, you’re not entirely wrong. But don’t worry—it’s not judging your driving skills (yet). It's just trying to stay in its lane, literally. One of the most fascinating aspects of autonomous driving is how vehicles perceive and interpret their surroundings. And at the heart of that perception, especially for lane tracking, lies a simple yet powerful tool: the humble camera.

Learn camera-based lane detection using Python & OpenCV. A hands-on guide for autonomous vehicle enthusiasts with code, tips, and ML insights.

Rust's advanced type systems feel like magic until you actually try to use them. Suddenly lifetimes and traits become your best friends, and you find yourself building way more robust software. Anyone else obsessed with wrangling types in Rust? #RustLang #SoftwareDesign

Anyone else ever try to teach a robot to do something simple, like pick up a box, with reinforcement learning? It's like trying to train a puppy - frustrating but so rewarding when they finally get it! Anyone have any funny robot training stories? #Robotics #ReinforcementLearning

Building a custom DSL for data processing is like crafting your perfect lightsaber. You get exactly what you need, but be prepared to spend time forging it! Worth it for the power though. #DSL #DataProcessing

Ever feel like your ML model is missing the forest for the trees? I'm diving into Topological Data Analysis (TDA) to give my models a broader perspective on data shapes. Think of it like finding hidden patterns that usual ML misses. Anyone else experimenting with TDA? #MachineLearning #TDA