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Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis 1st Edition
PAB 73
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Building Statistical Models with Python is a comprehensive guide that will empower you to leverage mathematical and statistical principles in data assessment, understanding, and inference generation.
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| Item Weight | 1.5 lbs (680 grams) |
DESCRIPCIÓN DEL PRODUCTO
Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis 1st Edition
Preguntas y respuestas de los clientes
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Pregunta:
Is previous knowledge of statistics required to read this book?
Respuesta: No, previous knowledge of statistics is not required but some experience with Python is helpful. -
Pregunta:
What statistical models will I learn about in this book?
Respuesta: You will learn about regression, classification, time series analysis, and survival analysis. -
Pregunta:
Will I get practical experience while reading this book?
Respuesta: Yes, the book provides practical guidance and illustrative examples for immediate implementation.
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PAB 73
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características y beneficios
- Gain expertise in identifying and modeling patterns for success.
- Explore key statistical concepts with essential Python libraries.
- Build models on real-world data sets for practical solutions.
- No prior statistics knowledge needed; basic Python experience recommended.
- Learn regression, classification, time series, and survival analysis.
- Achieve fluency in statistical modeling for informed decision-making.
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