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.
CITATION STYLE
Sarkar, D., Bali, R., & Sharma, T. (2018). Forecasting Stock and Commodity Prices. In Practical Machine Learning with Python (pp. 467–497). Apress. https://doi.org/10.1007/978-1-4842-3207-1_11
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