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Erschienen in:
2018 | OriginalPaper | Buchkapitel
11. Forecasting Stock and Commodity Prices
verfasst von : Dipanjan Sarkar, Raghav Bali, Tushar Sharma
Erschienen in: Practical Machine Learning with Python
Verlag: Apress
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Abstract
In the chapters so far, we covered a variety of concepts and solved diverse real-world problems. In this chapter, we will dive into forecast/prediction use cases. Predictive analytics or modeling involves concepts from data mining, advanced statistics, Machine Learning, and so on to model historical data to forecast future events. Predictive modeling has use cases across domains such as financial services, healthcare, telecommunications, etc.