ML Experiments

Alongside larger projects, I run smaller machine-learning experiments to strengthen my understanding of the fundamentals.

What's in the lab

• Supervised learning and Scikit-learn workflows.
• TensorFlow experiments and training loops.
• Dataset preprocessing and model evaluation.
• NLP experiments and LLM integration.

The point

My goal with these projects is to understand not just how to use a framework, but how the underlying ML pipeline works — from the dataset and the math through to evaluation and deployment.