Free shipping on all orders over $79* Limited Time Only
Track My Order
Help Centre
Likes
My Wish ListsLogin / Join
Booktopia
Australia's local bookstore
Get Free Shipping on orders over $79
Applied Statistics with Python : Volume II: Multivariate Models - Leon Kaganovskiy

Applied Statistics with Python

Volume II: Multivariate Models

By: Leon Kaganovskiy

eText | 29 December 2025 | Edition Number 1

At a Glance

eText

$112.20

or 4 interest-free payments of $28.05 with

 or 

Instant online reading in your Booktopia eTextbook Library *

Why choose an eTextbook?

Instant Access *

Purchase and read your book immediately

Read Aloud

Listen and follow along as Bookshelf reads to you

Study Tools

Built-in study tools like highlights and more

* eTextbooks are not downloadable to your eReader or an app and can be accessed via web browsers only. You must be connected to the internet and have no technical issues with your device or browser that could prevent the eTextbook from operating.

Applied Statistics with Python, Volume II focuses on ANOVA, multivariate models such as multiple regression, model selection, and reduction techniques, regularization methods like lasso and ridge, logistic regression, K-nearest neighbors (KNN), support vector classifiers, nonlinear models, tree-based methods, clustering, and principal component analysis.

As in Volume I, the Python programming language is used throughout due to its flexibility and widespread adoption in data science and machine learning. The book relies heavily on tools from the standard sklearn package, which are integrated directly into the discussion. Unlike many other resources, Python is not treated as an add-on, but as an organic part of the learning process.

This book is based on the author's 15 years of experience teaching statistics and is designed for undergraduate and first-year graduate students in fields such as business, economics, biology, social sciences, and natural sciences. However, more advanced students and professionals might also find it valuable. While some familiarity with basic statistics is helpful, it is not required - core concepts are introduced and explained along the way, making the material accessible to a wide range of learners.

Key Features:

  • Employs Python as an organic part of the learning process
  • Removes the tedium of hand/calculator computations
  • Weaves code into the text at every step in a clear and accessible way
  • Covers advanced machine-learning topics
  • Uses tools from Standardized sklearn Python package
on
Desktop
Tablet
Mobile

You Can Find This eBook In

Non-FictionMathematicsProbability & StatisticsComputing & I.T.Business ApplicationsMathematical & Statistical Software

More in Mathematical & Statistical Software

Theoretical Ecology : Concepts and Models with R - Ryan Chisholm

eBOOK

Theoretical Ecology

Concepts and Models with R

eBook

RRP $113.30

$90.99

20%
OFF
Strategies for Peace and Prosperity - Shui Yin Lo

eBOOK

Strategies for Peace and Prosperity

eBook

RRP $18.69

$17.99

This product is categorised by