Machine Learning Site

Adding LiDAR, IMU, GNSS… I thought more sensors would fix everything. It didn’t. Here’s what really matters in sensor systems. #sensors #robotics #ros2 #RoboticsCommunity #SelfDrivingCars #AutonomousVehicles #AutonomousDriving #SensorFusion

Devs, I've stopped manually documenting my Python code. I'm letting ChatGPT handle the mess. I break down exactly how to use ChatGPT to generate docstrings, module overviews, and even README content — without losing control of your code or style. Check out my new blog on using #ChatGPT for #Python.

Publishing a must-read explanation of how #RTK GPS works. If you’ve ever wondered how GPS coordinates have centimeter-level accuracy, this blog will help you understand it. I even shared a small #Python script so you can see how RTCM correction data looks in real life. Have a look:

Heard of #gpsd but don't know its significance? I just published a new guide on using gpsd to reliably access and manage GPS data in #Python. Check it out if you work with GPS hardware or just want to make sense of those NMEA strings.

Our robot just came to life! In Part 3 of the #ROS2 Tutorial, we’re adding motion to our custom robot vehicle. It’s time to make those wheels spin — literally! Dive in and see your #robotics creation move for the first time.

Using URDF to model a robot vehicle makes the code repetitive real quick. The alternative is Xacro. In this post, we build a vehicle using Xacro. Xacro allows us to create a particular template and create instances of them, keeping the code efficient and non-repetitive. Level up your #robotics game.

What if your code could talk back? I built this silly, custom REPL that compliments you, apologizes, or throws sarcastic shade before running your code. Have a look, how your code replies to your commands:

New blog is live! I just published #ROS2 Tutorial: URDF for Robot Modeling (Part 1). In this post, I break down robot modeling into simple, practical steps — perfect if you’re starting out with ROS2 and URDF. #ros2 #robotics

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

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

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.

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

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.

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

Mastering SVM in Machine Learning: A Beginner-Friendly Tutorial

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