About this Repository 🎓
This repository contains the exercises, assignments, and projects I completed while studying machine learning course at universty. The course covers fundamental and advanced topics in machine learning, providing hands-on experience with real-world datasets and algorithms.
Contents:
📂 Notebooks: Python notebooks with step-by-step implementations of various machine learning algorithms and techniques.
📊 Exercises: Problem-solving tasks to strengthen understanding of core concepts such as supervised learning, unsupervised learning, and model evaluation.\n
📈 Projects: Practical mini-projects applying machine learning to real-world problems.