This course provides a comprehensive introduction to Machine Learning (ML), a branch of Artificial Intelligence that focuses on building systems that can learn from and make decisions based on data. Students will explore core concepts including supervised and unsupervised learning, model evaluation, feature engineering, and algorithmic approaches such as regression, classification, clustering, and decision trees.
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Expiry period | 6 Months | ||
Made in | English | ||
Last updated at | Fri Apr 2025 | ||
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Total lectures | 0 | ||
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Short description | This course provides a comprehensive introduction to Machine Learning (ML), a branch of Artificial Intelligence that focuses on building systems that can learn from and make decisions based on data. Students will explore core concepts including supervised and unsupervised learning, model evaluation, feature engineering, and algorithmic approaches such as regression, classification, clustering, and decision trees. | ||
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