Practical statistics for data scientists : 50 essential concepts using R and Python /
Edition statement:Second edition. Published by : SPD (Mumbai) Physical details: xvi, 342 pages : illustrations ; 24 cm ISBN:9781491952962; 1491952962.
Subject(s):
Mathematical analysis
--
Statistical methods.
|
Quantitative research
--
Statistical methods.
|
Big data
--
Mathematics.
|
Data Mining
|
Datenanalyse
|
Statistik
Year: 2020
Item type:
Book
| Current library | Call number | Copy number | Status | Date due | Barcode | Item holds |
|---|---|---|---|---|---|---|
| Riara University Library General stack | QA276.4.B78 2020 (Browse shelf (Opens below)) | C.1 | Available | 10803/25 | ||
| Riara University Library General stack | QA276.4.B78 2020 (Browse shelf (Opens below)) | C.2 | Available | 10804/25 |
Total holds: 0
Browsing Riara University Library shelves, Shelving location: General stack Close shelf browser (Hides shelf browser)
| QA276.12.M4 1991 Statistics / | QA276.12.M66 2000 The basic practice of statistics / | QA276.4.B78 2020 Practical statistics for data scientists : 50 essential concepts using R and Python / | QA276.4.B78 2020 Practical statistics for data scientists : 50 essential concepts using R and Python / | QA276.45.R3D457 2019 Advanced statistics with applications in R / | QA276.45.R3D457 2019 Advanced statistics with applications in R / | QA276.45.R3M349 2022 Beginning data science in R 4 :data analysis, visualization, and modelling for the data scientist / |
Includes bibliographical references (pages 285-286) and index.
Exploratory data analysis -- Data and sampling distributions -- Statistical experiments and significance testing -- Regression and prediction -- Classification -- Statistical machine learning -- Unsupervised learning.
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