Applied Machine Learning with Python

By Andrea Giussani

COMPUTERS

200 Pages, 6.75 x 9.5

Formats: PDF, Trade Paper

Trade Paper, $39.95 (CA $46.95) (US $39.95)

Publication Date: March 2020

ISBN 9788831322041

Rights: WOR X IT

EGEA Spa - Bocconi University Press (Mar 2020)

Price:	$39.95

Overview
Author Biography

Overview

Unlock the power of machine learning with Python. This practical guide provides a concise yet comprehensive introduction to applying machine learning techniques using Python. Ideal for data scientists, machine learning engineers, and students, this resource covers fundamental concepts and modern algorithms, including ensemble methods like XGBoost and CatBoost.

Learn to tackle real-world challenges with techniques for handling imbalanced data, dimensionality reduction, and feature engineering. Benefit from clear explanations, practical code examples, and a focus on actionable insights. Transform your data into knowledge and drive better decisions. This book empowers you to build and deploy effective machine learning solutions.

Master essential machine learning algorithms
Apply practical techniques for data preprocessing
Implement ensemble methods for improved accuracy

Author Biography

Andrea Giussani is an Academic Fellow in Computer Science at Bocconi University. He holds a PhD in Statistics, and he has published in several peer-reviewed journals.

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