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Statistics Using Python.

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CHAPTER 4: Metrics in Statistics -- The Confusion Matrix -- The ROC Curve and AUC Curve -- The sklearn.metrics Module (Optional) -- Statistical Metrics for Categorical Data -- Metrics for Continuous Data -- MAE, MSE, and RMSE -- Approximating Linear Data with np.linspace() -- Summary -- CHAPTER 5: P...

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Bibliographic Details
Main Author: Campesato, Oswald
Corporate Author: Knovel (Firm)
Format: eBook
Language:English
Published: Bloomfield : Mercury Learning and Information, 2023.
Subjects:
Python (Computer program language) > Statistical methods.
Python (Langage de programmation) > Méthodes statistiques.
MATHEMATICS / Probability & Statistics / General.
Data mining, mathematics, probability, statistics, desktop applications, spreadsheets, data science, programmers, statisticians.
Electronic books.
Online Access:Connect to the full text of this electronic book
Description
Summary:CHAPTER 4: Metrics in Statistics -- The Confusion Matrix -- The ROC Curve and AUC Curve -- The sklearn.metrics Module (Optional) -- Statistical Metrics for Categorical Data -- Metrics for Continuous Data -- MAE, MSE, and RMSE -- Approximating Linear Data with np.linspace() -- Summary -- CHAPTER 5: Probability Distributions -- PDF, CDF, and PMF -- Two Types of Probability Distributions -- Discrete Probability Distributions -- Continuous Probability Distributions -- Advanced Probability Functions -- Non-Gaussian Distributions -- The Best-Fitting Distribution for Data -- Summary
Item Description:Appendix B: Introduction to Pandas
Physical Description:1 online resource (273 pages)
ISBN:9781683928799
1683928792
9781683928782
1683928784