Paul N Adams - ebooki

Paul Adams is a Data Scientist with a background primarily in the healthcare industry. Paul applies statistics and machine learning in multiple areas of industry, focusing on projects in process engineering, process improvement, metrics and business rules development, anomaly detection, forecasting, clustering and classification. Paul holds a Master of Science in Data Science from Southern Methodist University.

Tytuły autora: Paul N Adams dostępne w księgarni Helion

Building Statistical Models in Python will give you the tools to answer questions about data using some of the most widely used techniques in industry with Python. You’ll learn to formulate and test questions using regression, classification, forecasting methods, and summarize findings into insightful actions.
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Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis

Huy Hoang Nguyen, Paul N Adams, Stuart J Miller

139.00 zł

Paul N Adams - ebooki

Tytuły autora: Paul N Adams dostępne w księgarni Helion

Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis

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Building Statistical Models in Python. Develop useful models for regression, classification, time series, and survival analysis