Data Science and Analytics with Python

Description: Data Science and Machine Learning are the leading buzzwords of today.This book covers all aspects of these subjects, from data definition and categorization, classification techniques, clustering and ML algorithms to data stream and association rule mining, language data processing and neural networks. It explains descriptive and inferential statistical analysis, probability distribution and density functions as well as time series. It also describes the fundamentals of Python programming, the Python environment and libraries such as scikit-learn, NumPy and pandas, and takes a deep dive into data visualization modules and tools.Mastery of these areas will enable students to become proficient and effective data scientists.Salient featuresIdeal for undergraduate courses on Data Science and AnalyticsProvides step-by-step instructions for setting up the Python environment and executing various libraries and packagesAll chapters include relevant case studies, their Python code and output; the last chapter is dedicated to case studiesOver 300 exercise questions comprising MCQs, programming exercises and concept-based questions, with answers provided for quick referenceBibliography at the end of every chapter for further readingAndroid app with chapter-wise PowerPoint slides and job interview questions

Price: 43.5 USD

Location: Delhi, DELHI

End Time: 2024-12-23T05:38:14.000Z

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