Applied Machine Learning with Python

By Andrea Giussani

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 algorithmsApply practical techniques for data preprocessingImplement ensemble methods for improved accuracy

• Format: Paperback
• Language: English
• ISBN: 8831322044
• ISBN13: 9788831322041
• Release Date: March 2020
• Publisher: Egea Spa - Bocconi University Press
• Length: 200 Pages
• Weight: 0.75 lbs.
• Dimensions: 0.5" x 6.7" x 9.4"