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Python Data Science Essentials - Second Edition: Become an efficient data science practitioner by understanding Python's key concepts by Massaron, Luca;Boschetti, Alberto is a nonfiction available to read on EtoBox.

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NumPy's fast operations and computations -- Matrix operations -- Slicing and indexing with NumPy arrays -- Stacking NumPy arrays -- Summary -- Chapter 3: The Data Pipeline -- Introducing EDA -- Building new features -- Dimensionality reduction -- The covariance matrix -- Principal Component Analysis (PCA) -- PCA for big data - RandomizedPCA -- Latent Factor Analysis (LFA) -- Linear Discriminant Analysis (LDA) -- Latent Semantical Analysis (LSA) -- Independent Component Analysis (ICA) -- Kernel PCA -- T-SNE -- Restricted Boltzmann Machine (RBM) -- The detection and treatment of outliers -- Univariate outlier detection -- EllipticEnvelope -- OneClassSVM -- Validation metrics -- Multilabel classification -- Binary classification -- Regression -- Testing and validating -- Cross-validation -- Using cross-validation iterators -- Sampling and bootstrapping -- Hyperparameter optimization -- Building custom scoring functions -- Reducing the grid search runtime -- Feature selection -- Selection based on feature variance -- Univariate selection -- Recursive elimination -- Stability and L1-based selection -- Wrapping everything in a pipeline -- Combining features together and chaining transfor

Who reads Python Data Science Essentials - Second Edition: Become an efficient data science practitioner by understanding Python's key concepts?

Author

Massaron, Luca;Boschetti, Alberto

Publisher

Packt Publishing - ebooks Account

Published

2016

Language

EN

ISBN

9781786462138

Category

nonfiction

Subjects

Management, Science, Technology

Rating

3.22 / 5 (9 ratings)

Updated

2026-03-14