The primary objectives of the Machine Learning Virtual Laboratory are:

• To provide a web-based interactive environment for learning core machine learning concepts.
• To enable hands-on experimentation with algorithms using real-world and benchmark datasets.
• To enhance conceptual understanding through visualization of algorithmic steps and outputs.
• To support guided learning through structured experiment workflows and instructional content.
• To develop analytical and problem-solving skills through practical implementation of ML techniques.
• To facilitate understanding of complete ML workflows, including preprocessing, modeling, and evaluation.
• To ensure accessibility and scalability, allowing learners to use the platform without specialized infrastructure.