{"product_id":"9789349887329","title":"Ultimate Machine Learning Algorithms with Python","description":"\u003cp\u003e\u003cstrong\u003e\u003cem\u003eLearn the Algorithms Powering Modern AI. Build the Intelligence Behind Real-World Decisions.\u003c\/em\u003e\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eBook Description\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003e\u003cem\u003eUltimate Machine Learning Algorithms with Python\u003c\/em\u003e\u003c\/strong\u003e bridges the gap between mathematical understanding and practical implementation, presenting every major algorithm with both theoretical rigour and plain-language intuition, so that readers at any level can build real-world competence.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003eYou begin with supervised learning fundamentals - linear and logistic regression, decision trees, SVMs, and neural networks - before advancing to ensemble methods including Random Forests, XGBoost, and CatBoost. The book then moves into unsupervised learning through clustering, dimensionality reduction, and anomaly detection, with evaluation methods covered in depth for both paradigms. Every algorithm is grounded in a Python implementation using scikit-learn and industry-standard tooling.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eWhat you will learn\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e● Apply supervised learning algorithms to regression and classification problems.\u003c\/p\u003e\u003cp\u003e● Implement clustering and dimensionality reduction for unsupervised tasks.\u003c\/p\u003e\u003cp\u003e● Build ensemble models using Random Forests, XGBoost, and CatBoost.\u003c\/p\u003e\u003cp\u003e● Evaluate models using appropriate metrics for each algorithm type.\u003c\/p\u003e\u003cp\u003e● Develop end-to-end projects in fraud detection and recommendation systems.\u003c\/p\u003e\u003cp\u003e● Select, tune, and explain ML models for real business problems.\u003c\/p\u003e\u003cp\u003e\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eTable of Contents\u003c\/strong\u003e\u003c\/p\u003e\u003cp\u003e1. Introduction to Machine Learning Algorithms\u003c\/p\u003e\u003cp\u003e2. Regression Algorithms\u003c\/p\u003e\u003cp\u003e3. Classification Algorithms\u003c\/p\u003e\u003cp\u003e4. Ensembling Methods\u003c\/p\u003e\u003cp\u003e5. Evaluation Methods for Supervised Learning Algorithms\u003c\/p\u003e\u003cp\u003e6. Clustering Algorithms\u003c\/p\u003e\u003cp\u003e7. Dimensionality Reduction\u003c\/p\u003e\u003cp\u003e8. Evaluation Methods for Unsupervised Learning Algorithms\u003c\/p\u003e\u003cp\u003e9. Building Recommender Systems\u003c\/p\u003e\u003cp\u003e10. Building Anomaly Detection System\u003c\/p\u003e\u003cp\u003e11. Building Spam Email Classification\u003c\/p\u003e\u003cp\u003e12. Conclusion and Future Trends\u003c\/p\u003e\u003cp\u003e\u003cstrong\u003eIndex\u003c\/strong\u003e\u003c\/p\u003e","brand":"Orange Education Pvt Ltd","offers":[{"title":"Default Title","offer_id":48219098317041,"sku":"9789349887329","price":44.95,"currency_code":"USD","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0674\/5433\/7265\/files\/9789349887329_p0.jpg?v=1779809913","url":"https:\/\/shop.barnesandnoble.com\/products\/9789349887329","provider":"Barnes \u0026 Noble","version":"1.0","type":"link"}