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1. What is AI & Machine Learning?
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Understanding AI, ML & Deep Learning
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Where AI creates business value
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2. Python for Data
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Python essentials for ML
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Working with NumPy & pandas
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3. Your First Models
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Supervised learning: regression & classification
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Evaluating models & avoiding overfitting
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4. Capstone
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Build & evaluate a real predictive model
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Foundations Knowledge Check
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