000			01471nam a22001817a 4500
005			20251202151809.0
020			_a978-9370609167
082			_a006.31 MAN
100			_aManaranjan Pradhan _91155
100			_aDinesh Kumar U _91156
245			_aMachine Learning using Python_2nd Edition
250			_a2
260			_aWiley _bNew Delhi _c2025
300			_a468 _bItem Weight ‏ : ‎ 767 g Dimensions ‏ : ‎ 24.1 x 17.1 x 1.9 cm
520			_aMachine Learning using Python offers a comprehensive foundation in machine learning, blending theoretical concepts with practical applications. It is ideal for beginners and aspiring professionals, covering all essential topics to build a strong foundation in machine learning. The book begins with python language basics, statistics, probability, and exploratory data analysis, and then progresses to supervised learning techniques like linear and logistic regressions, decision trees, KNN, SVM, random forests, boosting, stacking, recommender systems, and text analytics. It also explores unsupervised learning techniques such as clustering, anomaly detection, and dimensionality reduction. The book also addresses advanced topics like ML explainability and MLOps, including model interpretation, deployment, and monitoring. Each chapter includes real-world use cases and step-by-step Python implementations using libraries like Pandas, NumPy, Matplotlib, Seaborn, and Sci kit-learn.
650			_aCSE _914
942			_cBK
999			_c38065 _d38065