Practical Statistics for Data Scientists - 50 Essential Concepts by Peter Bruse, Andrew Bruce

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dc.contributor.authorBruse, Peter
dc.contributor.authorBruce, Andrew
dc.date.accessioned2024-12-10T07:19:35Z
dc.date.available2024-12-10T07:19:35Z
dc.date.issued2017
dc.description.abstractNo Abstract
dc.identifier.citationNo Citation
dc.identifier.urihttps://repository.jdbikolkata.in/handle/123456789/2403
dc.language.isoEnglish
dc.publisherO’Reilly Media
dc.subjectStatistics
dc.subjectData Science
dc.subjectData Analysis
dc.subjectStructured Data
dc.subjectRectangular Data
dc.subjectEstimates of Location
dc.subjectEstimates of Variability
dc.subjectCorrelation
dc.subjectData and Sampling Distributions
dc.subjectA/B Testing
dc.subjectHypothesis Tests
dc.subjectPermutation Test
dc.subjectStatistical Significance
dc.subjectP-Values
dc.subjectT-Tests
dc.subjectAnalysis of Variance (ANOVA)
dc.subjectChi-Square Test
dc.subjectRegression
dc.subjectNaive Bayes
dc.subjectDiscriminant Analysis
dc.subjectStatistical Machine Learning
dc.subjectK-Nearest Neighbors
dc.subjectTree Models
dc.subjectK-Means Clustering
dc.subjectHierarchical Clustering
dc.titlePractical Statistics for Data Scientists - 50 Essential Concepts by Peter Bruse, Andrew Bruce
dc.typeBook

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