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Synopsis
Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning
Master Machine Learning with Python and Scikit-Learn
Are you ready to dive into the world of machine learning? Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning is your ultimate guide to mastering data preprocessing, model building, and evaluation using Python and Scikit-Learn.
Why This Book?✅ Comprehensive & Hands-On – Covers supervised and unsupervised learning, model evaluation, and workflow automation. ✅ Real-World Applications – Learn to build models for predictive analytics, fraud detection, sentiment analysis, and more. ✅ Optimized for Python – Uses Python 3.x for efficient and scalable implementations. ✅ For Beginners & Professionals – Suitable for students, developers, and data scientists looking to master Scikit-Learn.
What You’ll Learn✔️ Setting up Scikit-Learn for machine learning projects ✔️ Data preprocessing, feature selection, and transformation ✔️ Implementing linear regression, decision trees, SVMs, and ensemble models ✔️ Hyperparameter tuning and model optimization techniques ✔️ Clustering, anomaly detection, and dimensionality reduction ✔️ Building real-world machine learning applications
Who Should Read This Book?📌 Beginners looking to start with machine learning and Scikit-Learn 📌 Developers & Engineers wanting practical AI applications 📌 Data Scientists & Analysts integrating predictive models 📌 Researchers & Students exploring advanced machine learning concepts
Why Choose This Book Over Others?💡 Clear Explanations & Code Examples – Every concept is explained with easy-to-follow Python code. 💡 Project-Based Learning – Learn by building real AI applications. 💡 Updated & Practical – Covers the latest Scikit-Learn updates and real-world machine learning applications.
Take your machine learning skills to the next level with Scikit-Learn! 🚀
📘 Get your copy of Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning today!
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- PublisherIndependently published
- Publication date2025
- ISBN 13 9798309513123
- BindingPaperback
- LanguageEnglish
- Number of pages271
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Paperback. Condition: new. Paperback. Hands-On Python and Scikit-Learn: A Practical Guide to Machine LearningMaster Machine Learning with Python and Scikit-LearnAre you ready to dive into the world of machine learning? Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning is your ultimate guide to mastering data preprocessing, model building, and evaluation using Python and Scikit-Learn.Why This Book? Comprehensive & Hands-On - Covers supervised and unsupervised learning, model evaluation, and workflow automation. Real-World Applications - Learn to build models for predictive analytics, fraud detection, sentiment analysis, and more. Optimized for Python - Uses Python 3.x for efficient and scalable implementations. For Beginners & Professionals - Suitable for students, developers, and data scientists looking to master Scikit-Learn.What You'll Learn Setting up Scikit-Learn for machine learning projects Data preprocessing, feature selection, and transformation Implementing linear regression, decision trees, SVMs, and ensemble models Hyperparameter tuning and model optimization techniques Clustering, anomaly detection, and dimensionality reduction Building real-world machine learning applicationsWho Should Read This Book? Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Seller Inventory # 9798309513123
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Paperback. Condition: new. Paperback. Hands-On Python and Scikit-Learn: A Practical Guide to Machine LearningMaster Machine Learning with Python and Scikit-LearnAre you ready to dive into the world of machine learning? Hands-On Python and Scikit-Learn: A Practical Guide to Machine Learning is your ultimate guide to mastering data preprocessing, model building, and evaluation using Python and Scikit-Learn.Why This Book? Comprehensive & Hands-On - Covers supervised and unsupervised learning, model evaluation, and workflow automation. Real-World Applications - Learn to build models for predictive analytics, fraud detection, sentiment analysis, and more. Optimized for Python - Uses Python 3.x for efficient and scalable implementations. For Beginners & Professionals - Suitable for students, developers, and data scientists looking to master Scikit-Learn.What You'll Learn Setting up Scikit-Learn for machine learning projects Data preprocessing, feature selection, and transformation Implementing linear regression, decision trees, SVMs, and ensemble models Hyperparameter tuning and model optimization techniques Clustering, anomaly detection, and dimensionality reduction Building real-world machine learning applicationsWho Should Read This Book? Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. Seller Inventory # 9798309513123
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