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Statistics for machine learning : implement statistical methods used in machine learning using Python / Himanshu Singh.

By: Material type: TextTextNew Delhi : BPB Publications, 2021Edition: 1st editionDescription: 278 pages : illustrations ; 24 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789388511971
Subject(s): DDC classification:
  • 23 006.31015195 s.h.s.
Contents:
Chapter 1: Introduction to Statistics ‡ 2: Descriptive Statistics ‡ 3: Probability ‡ 4: Random Variables ‡ 5: Parameter Estimation ‡ 6: Hypothesis Testing ‡ 7: Analysis of Variance ‡ 8: Regression ‡ 9: Non‑Parametric Statistics ‡ 10: Data Analysis Using Python ‡ 11: Introduction to Machine Learning.
Summary: A practical guide combining statistical theory and Python applications for machine learning. Covers descriptive stats, probability, hypothesis testing, ANOVA, regression, non-parametric methods, and basic ML concepts with code examples.:contentReference[oaicite:1]{index=1}
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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 006.31015195 s.h.s C.1 Available MA0002241
Total holds: 0

Includes bibliographical references.

Chapter 1: Introduction to Statistics ‡ 2: Descriptive Statistics ‡ 3: Probability ‡ 4: Random Variables ‡ 5: Parameter Estimation ‡ 6: Hypothesis Testing ‡ 7: Analysis of Variance ‡ 8: Regression ‡ 9: Non‑Parametric Statistics ‡ 10: Data Analysis Using Python ‡ 11: Introduction to Machine Learning.

A practical guide combining statistical theory and Python applications for machine learning. Covers descriptive stats, probability, hypothesis testing, ANOVA, regression, non-parametric methods, and basic ML concepts with code examples.:contentReference[oaicite:1]{index=1}

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