
Premium
Opening Credits
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Chapter 1 Introduction to machine
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Chapter 2 Foundations of data science
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Chapter 3 Types of machine learning
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Chapter 4 Supervised learning
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Chapter 5 Unsupervised learning
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Chapter 6 Model evaluation and selection
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Chapter 7 Feature selection and
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Chapter 8 Advanced topics in machine
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Chapter 9 The predictive modeling
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Chapter 10 Deploying models into
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Chapter 11 Case studies
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Chapter 12 Future trends in machine
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Chapter 13 Challenges and ethical
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Chapter 14 Resources and tools
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Chapter 15 Conclusion
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Ending Credits
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