MASTER MACHINE LEARNING WITH SCIKIT-LEARN
A Hands-On Python Guide to Building, Training, and Optimizing Machine Learning Models
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- 5,49 €
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- 5,49 €
Descrição da editora
Master Machine Learning with Scikit-Learn: A Hands-On Python Guide to Building, Training, and Optimizing Machine Learning Models
Unlock the full power of machine learning using Python’s most popular and practical library—scikit-learn. Whether you’re a complete beginner, a data analyst ready to level up, or a developer eager to add intelligent systems to your toolkit, this hands-on guide takes you from zero to confident ML practitioner with clear explanations, real-world examples, and production-ready code.
You’ll master the entire machine learning workflow: cleaning and preparing data, engineering powerful features, choosing the right algorithms, training models, rigorously evaluating performance, and fine-tuning for maximum accuracy. Step-by-step tutorials show you how to build everything from simple linear regressions and logistic classifiers to advanced ensemble methods like random forests and support vector machines. You’ll learn to avoid common pitfalls such as data leakage, overfitting, and poor generalization while building reproducible pipelines that scale.
What you’ll gain:
Practical data preparation — handling missing values, encoding categorical features, scaling, and text preprocessing.
Core supervised learning algorithms — linear/logistic regression, k-NN, decision trees, random forests, SVMs, and more.
Model evaluation & validation — train-test splits, cross-validation, and key metrics (accuracy, precision, recall, F1, ROC-AUC).
Optimization techniques — hyperparameter tuning with GridSearchCV and RandomizedSearchCV, feature selection, and ensemble methods.
End-to-end projects — real-world case studies in finance (fraud detection), healthcare (disease prediction), retail (customer segmentation), and marketing (recommendation systems).
No heavy math required—just basic Python knowledge. Every concept is reinforced with clean, well-commented code you can run immediately, plus Jupyter notebooks for interactive practice.
By the end of this book, you’ll confidently design, train, optimize, and deploy scikit-learn models that deliver real business value. Turn theory into results and become the machine learning expert your team needs.
Start building smarter models today—your journey to mastering scikit-learn begins here.