🤖 Machine Learning Course – AGH

This repository contains code and exercises from the Machine Learning course at AGH University of Science and Technology.

📚 Topics Covered

• Data preprocessing and visualization
• Supervised learning:
  • Linear Regression
  • Logistic Regression
  • k-Nearest Neighbors (k-NN)
  • Decision Trees
  • Support Vector Machines (SVM)
• Unsupervised learning:
  • k-Means Clustering
  • PCA (Principal Component Analysis)
• Model evaluation and validation

🛠️ Technologies

• Python
• scikit-learn
• Pandas
• NumPy
• Matplotlib / Seaborn
• Jupyter Notebook