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    https://sophisticatedspectra.com/article/drosia-serenity-a-modern-oasis-in-the-heart-of-larnaca.2521391.html

    DROSIA SERENITY
    A Premium Residential Project in the Heart of Drosia, Larnaca

    ONLY TWO FLATS REMAIN!

    Modern and impressive architectural design with high-quality finishes Spacious 2-bedroom apartments with two verandas and smart layouts Penthouse units with private rooftop gardens of up to 63 m² Private covered parking for each apartment Exceptionally quiet location just 5–8 minutes from the marina, Finikoudes Beach, Metropolis Mall, and city center Quick access to all major routes and the highway Boutique-style building with only 8 apartments High-spec technical features including A/C provisions, solar water heater, and photovoltaic system setup.
    Drosia Serenity is not only an architectural gem but also a highly attractive investment opportunity. Located in the desirable residential area of Drosia, Larnaca, this modern development offers 5–7% annual rental yield, making it an ideal choice for investors seeking stable and lucrative returns in Cyprus' dynamic real estate market. Feel free to check the location on Google Maps.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Data Analytics Made Accessible (repost)

    Posted By: arundhati
    Data Analytics Made Accessible (repost)

    Anil Maheshwari, "Data Analytics Made Accessible"
    2015 | EPUB | 156 pages | ASIN: B00K2I2JL8 | English | 2 MB

    This book fills the need for a concise and conversational book on the growing field of Data Analytics and Big Data. Easy to read and informative, this lucid book covers everything important, with concrete examples, and invites the reader to join this field. The chapters in the book are organized for a typical one-semester course. The book contains case-lets from real-world stories at the beginning of every chapter. There is also a running case study across the chapters as exercises. This book is designed to provide a student with the intuition behind this evolving area, along with a solid toolset of the major data mining techniques and platforms. Finally, it includes short tutorials for R & Weka platforms.

    Students across a variety of academic disciplines, including business, computer science, statistics, engineering, and others attracted to the idea of discovering new insights and ideas from data can use this as a textbook. Professionals in various domains, including executives, managers, analysts, professors, doctors, accountants, and others can use this book to learn in a few hours how to make sense of and develop actionable insights from the enormous data coming their way. This is a flowing book that one can finish in one sitting, or one can return to it again and again for insights and techniques.

    Table of Contents
    Chapter 1: Wholeness of Data Analytics
    Chapter 2: Business Intelligence Concepts & Applications
    Chapter 3: Data Warehousing
    Chapter 4: Data Mining
    Chapter 5: Data Visualization
    Chapter 6: Decision Trees
    Chapter 7: Regression Models
    Chapter 8: Artificial Neural Networks
    Chapter 9: Cluster Analysis
    Chapter 10: Association Rule Mining
    Chapter 11: Text Mining
    Chapter 12: Web Mining
    Chapter 13: Big Data
    Chapter 14: Data Modeling Primer
    Appendix A: Data Mining Tutorial using Weka
    Appendix B: Data Mining Tutorial using R