Python machine learning data par hawthorne caden (6 résultats)

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

PAP. Etat : New. New Book. Shipped from UK. Established seller since 2000.

Etat : New. Print on Demand.

Taschenbuch. Etat : Neu. Neuware - What You'll Learn.

Paperback. Etat : new. Paperback. Leverage the Power of Python to Build Intelligent, Data-Driven ApplicationsPython has become the go-to language for both machine learning and data science - and this book shows you why.Whether you're a beginner or an experienced programmer, this practical guide helps you master the tools and techniques needed to transform raw data into actionable insights and intelligent systems.Through hands-on projects and step-by-step examples, you'll learn how to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch to build real-world machine learning and data science solutions.What You'll Learn: Setting up your Python data science environment Data wrangling, cleaning, and visualization Supervised & unsupervised machine learning algorithms Deep learning with TensorFlow & PyTorch Natural Language Processing (NLP) basics Model evaluation and hyperparameter tuning Feature engineering and data preprocessing Deployment of machine learning models Best practices for scalable, production-ready projectsWhether your goal is to analyze data, build intelligent applications, or launch a career in AI, this book will give you the tools and confidence to turn your ideas into reality. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.…

Paperback. Etat : new. Paperback. Leverage the Power of Python to Build Intelligent, Data-Driven ApplicationsPython has become the go-to language for both machine learning and data science - and this book shows you why.Whether you're a beginner or an experienced programmer, this practical guide helps you master the tools and techniques needed to transform raw data into actionable insights and intelligent systems.Through hands-on projects and step-by-step examples, you'll learn how to use Python libraries such as NumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, and PyTorch to build real-world machine learning and data science solutions.What You'll Learn: Setting up your Python data science environment Data wrangling, cleaning, and visualization Supervised & unsupervised machine learning algorithms Deep learning with TensorFlow & PyTorch Natural Language Processing (NLP) basics Model evaluation and hyperparameter tuning Feature engineering and data preprocessing Deployment of machine learning models Best practices for scalable, production-ready projectsWhether your goal is to analyze data, build intelligent applications, or launch a career in AI, this book will give you the tools and confidence to turn your ideas into reality. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.…