Master In Tech

Machine Learning

Machine Learning (ML) is a branch of Artificial Intelligence (AI) that enables computers to learn from data, identify patterns, and make predictions or decisions without being explicitly programmed. It is widely used in industries such as healthcare, finance, e-commerce, cybersecurity, manufacturing, autonomous vehicles, and natural language processing. This course is designed to take learners from the fundamentals of machine learning to advanced concepts through hands-on projects and real-world case studies. Students will learn data preprocessing, feature engineering, supervised and unsupervised learning, deep learning basics, model evaluation, deployment, and MLOps using industry-standard tools such as Python, NumPy, Pandas, Scikit-learn, TensorFlow, Keras, PyTorch, and MLflow. By the end of the course, learners will be able to build, train, evaluate, and deploy machine learning models for real-world applications.

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