Machine Learning Classes are designed to help learners understand how data-driven systems learn, predict, and improve over time. These classes cover essential concepts such as supervised and unsupervised learning, regression, classification, and basic algorithms using real-world examples. The training focuses on building a strong foundation so students can confidently understand how machine learning powers modern applications. Along with theory, learners work on hands-on exercises, datasets, and mini projects that reflect industry scenarios. These machine learning classes are suitable for students, freshers, and professionals who want to build analytical thinking, improve problem-solving skills, and prepare for advanced roles in data science and artificial intelligence.