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Machine Learning for Beginners: Learn to Build Machine Learning Systems Using Python / Harsh Bhasin.

By: Material type: TextTextPublisher: New Delhi : BPB Publications, 2020Edition: first editionDescription: 244 pages : illustrations ; 23 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789389845426
Subject(s): DDC classification:
  • 23 006.3 b.h.m.
Contents:
Introduction to ML; Pre‑processing & Feature Selection; Regression; Classification (K‑NN, Logistic Regression, Naïve Bayes, LDA); Neural Networks I & II; SVM and Kernel Methods; Decision Trees; Clustering; Feature Extraction; Appendix (Cheat Sheets, Face Detection).
Summary: A hands-on guide to essential machine learning workflows using Python. Covers preprocessing, feature extraction, key classification algorithms, neural networks, SVMs, and clustering with practical examples. Aimed at undergraduate and postgraduate students and professionals entering ML via real-world implementations.turn0search2turn0search9turn0search5
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Holdings
Item type Current library Call number Copy number Status Date due Barcode Item holds
Books Books Media and mass communication Library B4 006.3 b.h.m C.1 Available MA0002225
Total holds: 0

Includes feature selection techniques, classification algorithms, neural networks, PCA and appendix cheat sheets.

Introduction to ML; Pre‑processing & Feature Selection; Regression; Classification (K‑NN, Logistic Regression, Naïve Bayes, LDA); Neural Networks I & II; SVM and Kernel Methods; Decision Trees; Clustering; Feature Extraction; Appendix (Cheat Sheets, Face Detection).

A hands-on guide to essential machine learning workflows using Python. Covers preprocessing, feature extraction, key classification algorithms, neural networks, SVMs, and clustering with practical examples. Aimed at undergraduate and postgraduate students and professionals entering ML via real-world implementations.turn0search2turn0search9turn0search5

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