Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications by Cuantum Technologies ISBN B0DM47J1RQ instant download

Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications by Cuantum Technologies ISBN B0DM47J1RQ instant download

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Unleash the Power of Feature Engineering for Cutting-Edge Machine Learning
Transform raw data into powerful features with Feature Engineering for Modern Machine Learning with Scikit-Learn: Advanced Data Science and Practical Applications. This essential guide takes you beyond the basics, teaching you how to create, optimize, and automate features that elevate machine learning models. With a focus on real-world applications and advanced techniques, this book equips data scientists, machine learning engineers, and analytics professionals with the skills to make impactful, data-driven decisions.
Why Advanced Feature Engineering is Essential
In machine learning, the quality of input data determines the quality of output predictions. Advanced feature engineering is the key to uncovering hidden patterns and meaningful insights in your data, transforming it into structured inputs that drive model performance. This book provides a deep dive into creating and refining features tailored to your data’s unique challenges, ensuring models are both accurate and insightful.
What You’ll Discover Inside
Feature Engineering for Modern Machine Learning with Scikit-Learn covers every stage of advanced feature engineering, from foundational transformations to automated pipelines and cutting-edge tools:
Automating Data Preparation with Scikit-Learn Pipelines: Learn to create reproducible, automated workflows that handle everything from scaling and encoding to feature selection.
Advanced Feature Creation and Transformation: Master complex techniques like polynomial features, interaction terms, and dimensionality reduction, all designed to improve model accuracy.
Industry-Specific Case Studies: Apply feature engineering techniques to real-world domains like healthcare, retail, and customer segmentation, gaining insights into how feature engineering adapts across fields.
Modern Tools and Automation with AutoML: Explore