- Shafin Gida /
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- Mathematics /
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- Building Statistical Models in Python: Develo...
Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis 1st Edition
XAF 42893
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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) |
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Building Statistical Models in Python: Develop useful models for regression, classification, time series, and survival analysis 1st Edition
Tambayoyi & Amsoshi na Abokan Ciniki
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Tambaya:
Is previous knowledge of statistics required to read this book?
Amsa: No, previous knowledge of statistics is not required but some experience with Python is helpful. -
Tambaya:
What statistical models will I learn about in this book?
Amsa: You will learn about regression, classification, time series analysis, and survival analysis. -
Tambaya:
Will I get practical experience while reading this book?
Amsa: Yes, the book provides practical guidance and illustrative examples for immediate implementation.
Probability & Statistics Editorial Review
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XAF 42893
Yi Oda yanzu, a samu nan da Laraba, Yuli 22
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Fasaloli & Fa'idoji
- 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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