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Python Data Science Essentials

You're reading from   Python Data Science Essentials Become an efficient data science practitioner by thoroughly understanding the key concepts of Python

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Product type Paperback
Published in Apr 2015
Publisher Packt
ISBN-13 9781785280429
Length 258 pages
Edition 1st Edition
Languages
Tools
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Toc

Index

A

  • AdaBoost / Sequences of models – AdaBoost
  • Additive White Gaussian Noise (AWGN)
    • about / Dimensionality reduction
  • advanced nonlinear algorithms
    • about / Advanced nonlinear algorithms
    • SVM, used for classification / SVM for classification
    • SVM, used for regression / SVM for regression
    • SVM, tuning / Tuning SVM
  • Anaconda
    • about / Anaconda
    • URL / Anaconda
  • Arbitrary waveform generator (AWG)
    • about / Latent Factor Analysis (LFA)
  • Area under a curve (AUC) / Binary classification
  • arrays
    • resizing / Resizing arrays
    • deriving, from NumPy functions / Arrays derived from NumPy functions
    • obtaining, from file / Getting an array directly from a file

B

  • bar graphs / Bar graphs
  • Beautiful Soup
    • URL / Beautiful Soup
    • about / Beautiful Soup
  • betweenness centrality / Graph algorithms
  • big data
    • dealing with / Dealing with big data
    • datasets, creating as examples / Creating some big datasets as examples...
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