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eBooks > Non-Fiction > Computing & I.T. > Databases > Data Mining
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  • Ultimate Excel with Power Query and ChatGPT : Master MS Excel's Dynamic Lookup Functions, Generative AI, and Power Query to Navigate Data, Solve Complex Tasks and Optimize Productivity (English Edition) - Crispo Mwangi (MVP)
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  • Ultimate Python Libraries for Data Analysis and Visualization : Leverage Pandas, NumPy, Matplotlib, Seaborn, Julius AI and No-Code Tools for Data Acquisition, Visualization, and Statistical Analysis (English Edition) - Abhinaba Banerjee
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  • Ultimate Snowflake Architecture for Cloud Data Warehousing : Architect, Manage, Secure, and Optimize Your Data Infrastructure Using Snowflake for Actionable Insights and Informed Decisions (English Edition) - Ganesh Bharathan
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  • Practice Questions for Tableau Desktop Specialist Certification Case Based 2026 - Exam OG
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  • Ultimate Statistical Analysis System (SAS) for Data Analytics : Enhance Your Data Analytics Skills, Optimize Workflows, and Drive Informed Decision-Making Across the Data Landscape with SAS (English Edition) - Vishesh Dhingra
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  • Ultimate Big Data Analytics with Apache Hadoop : Master Big Data Analytics with Apache Hadoop Using Apache Spark, Hive, and Python (English Edition) - Simhadri Govindappa
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  • The Prompt Engineer's Handbook A Practical Guide to Prompt Design and ChatGPT Mastery - MARTIN NEEL
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  • IBM SPSS Modeler Essentials : Effective techniques for building powerful data mining and predictive analytics solutions - Keith McCormick Jesus Salcedo
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  • TensorFlow: Powerful Predictive Analytics with TensorFlow : Predict valuable insights of your data with TensorFlow - Md. Rezaul Karim
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  • Modern Big Data Processing with Hadoop : Expert techniques for architecting end-to-end Big Data solutions to get valuable insights - Prashant Shindgikar V. Naresh Kumar
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  • Practical Real-time Data Processing and Analytics : A practical guide to help you tackle different real-time data processing and analytics problems using the best tools for each scenario - Saurabh Gupta Shilpi Saxena
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  • Learning Social Media Analytics with R : Tap into the realm of social media and unleash the power of analytics for data-driven insights using R - Raghav Bali
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  • Frank Kane's Taming Big Data with Apache Spark and Python : Frank Kane's hands-on Spark training course, based on his bestselling Taming Big Data with Apache Spark and Python video, now available in a book. Understand and analyze large data sets using Spark on a single system or on a cluster. - Frank Kane
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  • Learning Spark SQL : Design, implement, and deliver successful streaming applications, machine learning pipelines and graph applications using Spark SQL API - Aurobindo Sarkar
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  • Machine Learning with TensorFlow 1.x : Tackle common commercial machine learning problems with Google's TensorFlow 1.x library and build deployable solutions. - Quan Hua
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  • R Data Mining : Mine valuable insights from your data using popular tools and techniques in R - Andrea Cirillo
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  • scikit-learn Cookbook - Second Edition : Learn to use scikit-learn operations and functions for Machine Learning and deep learning applications. - Trent Hauck Julian Avila
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  • Apache Spark 2.x for Java Developers : Unleash the data processing and analytics capability of Apache Spark with the language of choice: Java - Sumit Kumar Sourav Gulati
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  • Python Social Media Analytics : Leverage the power of Python to collect, process, and mine deep insights from social media data - Michal Krystyanczuk Siddhartha Chatterjee
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  • Hadoop : Data Processing and Modelling - Garry Turkington
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  • Data Quality : Dimensions, Measurement, Strategy, Management, and Governance - Rupa Mahanti
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  • R Web Scraping Quick Start Guide : Techniques and tools to crawl and scrape data from websites - Olgun Aydin
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  • Learning Data Mining with Python : Harness the power of Python to develop data mining applications, analyze data, delve into machine learning, explore object detection using Deep Neural Networks, and create insightful predictive models. - Robert Layton
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  • Pandas Cookbook : Publisher's Note: A new second edition, updated completely for pandas 1.x with additional chapters, has now been published. This edition from 2017 is outdated and is based on pandas 0.20. - Theodore Petrou
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