This repository contains multiple machine learning projects created for practice and learning purposes.
Each project is designed to help understand the core concepts of machine learning, including:
- Data preprocessing
- Model building
- Model training
- Model evaluation
- Making predictions
The projects cover various real-world datasets and focus on applying different machine learning algorithms to solve classification or regression problems.
This repository serves as a hands-on resource to strengthen machine learning skills and build a solid foundation for future learning and development.