ML Lab

This repository collects coursework and exam material for:

• Computational Methods for Physics
• Machine Learning labs

Repository structure

• Comp_methods_exam: exam project (pressure-wave simulation and diffraction setup)
• Computational_methods: numerical methods exercises (derivatives, integration, FFT, ODEs, Monte Carlo, etc.)
• Machine_Learning: notebooks for model selection, perceptrons, regression, SVM, random forests, neural networks, clustering, and reinforcement learning

Requirements

Most Python scripts/notebooks use common scientific packages:

• numpy
• matplotlib
• pandas
• scikit-learn
• jupyter