Klappentext

The surging predictive analytics market is expected to grow from $10.5 billion today to $28 billion by 2026. With the rise in automation across industries, the increase in data-driven decision-making, and the proliferation of IoT devices, predictive analytics has become an operational necessity in today's forward-thinking companies.
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Explore ways that predictive analytics can provide direct input back to your business
Understand mathematical tools commonly used in predictive analytics
Learn the development frameworks used in predictive analytics applications
Appreciate the role of predictive analytics in the machine learning process
Examine industry implementations of predictive analytics
Build, train, and retrain predictive models using Python and TensorFlow