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Mastering machine learning with python in six steps : a practical implementation guide to predictive data analytics using python : 2nd ed.

Tác giả: Manohar Swamynathan

You’ll start with the fundamentals of Python 3 programming language, machine learning history, evolution, and the system development frameworks. Key data mining/analysis concepts, such as exploratory analysis, feature dimension reduction, regressions, time series forecasting and their efficient ...

Hands-on gradient boosting with XGBoost and scikit-learn : perform accessible machine learning and extreme gradient boosting with python

Tác giả: Corey Wade

The book introduces machine learning and XGBoost in scikit-learn before building up to the theory behind gradient boosting. You'll cover decision trees and analyze bagging in the machine learning context, learning hyperparameters that extend to XGBoost along the way. You'll build gradient boosting ...

Hands-On machine learning with scikit-learn, keras, and tensorFlow : concepts, tools, and techniques to build intelligent systems : 2nd ed

Tác giả: Aurélien Géron

By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple ...

Python for kids

Tác giả: Brendan Scott

Week 1: Slithering into Python; Week 2: Building Guessing Games; Week 3: Creating Word Games; Week 4: Stepping Up to Object?]Oriented Programming.

Starting out with Python : 3rd ed.

Tác giả: Tony Gaddis

In Starting Out with Python®, Third Edition Tony Gaddis’ evenly-paced, accessible coverage introduces students to the basics of programming and prepares them to transition into more complicated languages. Python, an easy-to-learn and increasingly popular object-oriented language, allows readers to ...