dyneth02/SLIIT-AI-Engineer-Stage-II
AI/ML Engineer – Stage 2 provides in-depth knowledge about supervised learning algorithms, also known as supervised machine learning, which is a subcategory of machine learning and artificial intelligence. It is defined by its use of labelled datasets to train algorithms to classify data or predict outcomes accurately.
This course helps aspiring AI/ML engineers learn how to build solutions that make predictions or classify data. You'll take real-world labeled datasets and apply various supervised learning algorithms to develop models that can accurately forecast outcomes or categorize information. It's designed for individuals looking to gain the practical skills needed to implement AI solutions.
Use this if you want to learn how to apply machine learning algorithms to solve problems where you have historical data with known outcomes.
Not ideal if you are looking for advanced research into unsupervised learning or deep learning architectures beyond traditional supervised methods.
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Jupyter Notebook
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MIT
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Last pushed
Jan 08, 2026
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