A Machine Learning course provides a foundational understanding of algorithms and techniques enabling computers to learn from data and make predictions or decisions. Participants delve into concepts like supervised and unsupervised learning, regression, classification, clustering, and neural networks. The curriculum typically includes practical applications using Python and popular libraries like scikit-learn and TensorFlow. Students learn to preprocess data, train models, evaluate performance, and deploy machine learning solutions. The course equips learners with the skills needed to extract insights from data, build predictive models, and apply machine learning in diverse fields like finance, healthcare, marketing, and more.
Duration – 3 Months
Week – 12 weeks
Mode – Hybrid Mode
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