000 04584cam a2200709 i 4500
001 on1338980716
003 OCoLC
005 20240523125544.0
006 m o d
007 cr |n|||||||||
008 220808t20222022njua ob 000 0 eng d
040 _aYDX
_beng
_erda
_cYDX
_dYDX
_dDG1
_dOCLCF
_dUKAHL
_dSFB
_dUKMGB
_dNZHMA
_dVLB
_dOCLCO
_dOCLCQ
015 _aGBC2I9849
_2bnb
016 7 _a020787332
_2Uk
019 _a1379444760
020 _a9781119858003
_qelectronic book
020 _a1119858003
_qelectronic book
020 _a9781119858010
_qelectronic book
020 _a1119858011
_qelectronic book
020 _z1119857333
_qhardcover
020 _z9781119857334
_qhardcover
020 _a9781119857990
_q(ePub ebook)
020 _a1119857996
029 1 _aAU@
_b000072997528
029 1 _aUKMGB
_b020787332
035 _a(OCoLC)1338980716
_z(OCoLC)1379444760
037 _a9781119857990
_bWiley, US
050 4 _aQA76.9.B45
_bP73 2022
082 0 4 _a005.7
_223
049 _aMAIN
100 1 _aPrakash, Kolla Bhanu,
_eauthor.
245 1 0 _aData science handbook :
_ba practical approach /
_cKolla Bhanu Prakash.
264 1 _aHoboken, NJ :
_bWiley-Scrivener,
_c2022.
264 4 _c�2022
300 _a1 online resource :
_billustrations (chiefly color).
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
490 0 _aNext-generation computing and communication engineering
504 _aIncludes bibliographical references.
588 _aDescription based on online resource; title from digital title page (viewed on October 19, 2022).
505 0 _aCover -- Half-Title Page -- Series Page -- Title Page -- Copyright Page -- Dedication -- Contents -- Acknowledgment -- Preface -- 1 Data Munging Basics -- 1 Introduction -- 1.1 Filtering and Selecting Data -- 1.2 Treating Missing Values -- 1.3 Removing Duplicatesduplicates -- 1.4 Concatenating and Transforming Data -- 1.5 Grouping and Data Aggregation -- References -- 2 Data Visualization -- 2.1 Creating Standard Plots (Line, Bar, Pie) -- 2.2 Defining Elements of a Plot -- 2.3 Plot Formatting Segment 3 Plot formatting -- 2.4 Creating Labels and Annotations -- 2.5 Creating Visualizations from Time Series Data -- 2.6 Constructing Histograms, Box Plots, and Scatter Plots -- References -- 3 Basic Math and Statistics -- 3.1 Linear Algebra -- 3.2 Calculus -- 3.2.1 Differential Calculus -- 3.2.2 Integral Calculus -- Statistics for Data Science -- 3.3 Inferential Statistics -- 3.3.1 Central Limit Theorem -- 3.3.2 Hypothesis Testing -- 3.3.3 ANOVA -- 3.3.4 Qualitative Data Analysis -- 3.4 Using NumPy to Perform Arithmetic Operations on Data -- 3.5 Generating Summary Statistics Using Pandas and Scipy -- 3.6 Summarizing Categorical Data Using Pandas -- 3.7 Starting with Parametric Methods in Pandas and Scipy -- 3.8 Delving Into Non-Parametric Methods Using Pandas and Scipy -- 3.9 Transforming Dataset Distributions -- References -- 4 Introduction to Machine Learning -- 4.1 Introduction to Machine Learning -- 4.2 Types of Machine Learning Algorithms -- 4.3 Explanatory Factor Analysis -- 4.4 Principal Component Analysis (PCA) -- References -- 5 Outlier Analysis -- 5.1 Extreme Value Analysis Using Univariate Methods -- 5.2 Multivariate Analysis for Outlier Detection -- 5.3 DBSCan Clustering to Identify Outliers -- References -- 6 Cluster Analysis -- 6.1 K-Means Algorithm -- 6.2 Hierarchial Methods -- 6.3 Instance-Based Learning w/k-Nearest Neighbor.
520 _aThis desk reference handbook gives a hands-on experience on various algorithms and popular techniques used in real-time in data science to all researchers working in various domains.
590 _aJohn Wiley and Sons
_bWiley Online Library: Complete oBooks
650 0 _aBig data.
650 0 _aData mining.
650 0 _aQuantitative research.
650 0 _aInformation visualization.
650 6 _aDonn�ees volumineuses.
650 6 _aExploration de donn�ees (Informatique)
650 6 _aRecherche quantitative.
650 6 _aVisualisation de l'information.
650 7 _aBig data
_2fast
650 7 _aData mining
_2fast
650 7 _aInformation visualization
_2fast
650 7 _aQuantitative research
_2fast
776 0 8 _iPrint version:
_z1119857333
_z9781119857334
_w(OCoLC)1303556419
856 4 0 _uhttps://onlinelibrary.wiley.com/doi/book/10.1002/9781119858010
938 _aAskews and Holts Library Services
_bASKH
_nAH40865018
938 _aYBP Library Services
_bYANK
_n303064478
994 _a92
_bINLUM
999 _c12905
_d12905