Advanced Data Analytics Using Python: With Architectural Patterns, Text and Image Classification, and Optimization Techniques - Paperback
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Covers time series analysis, principal component analysis, and ETL for comprehensive data preprocessing
Explains supervised and unsupervised learning, reinforcement learning, and transfer learning for diverse analytics needs
Includes architectural patterns in Python, such as hot potato anti-patterns, for robust system design
Reviews recent databases like Neo4j, Elasticsearch, and MongoDB for modern data management
Provides hands-on examples with PySpark and cloud platforms for practical deployment
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Report copyright infringement by Sayan Mukhopadhyay (Author), Pratip Samanta (Author) Understand advanced data analytics concepts such as time series and principal component analysis with ETL, supervised learning, and PySpark using Python. This book covers architectural patterns in data analytics, text and image classification, optimization