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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.
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    Machine Learning with Bagging and Boosting

    Posted By: AlenMiler
    Machine Learning with Bagging and Boosting

    Machine Learning with Bagging and Boosting by Robert Collins
    English | October 3, 2018 | ISBN: 1726736121 | 45 pages | AZW3 | 0.39 MB

    This book is an exploration of machine learning. It focuses on Bagging and Boosting machine learning algorithms, which belong to the category of ensemble learning. The author helps you firstly familiarize yourself with the ensemble method. The various aspects of the decision tree algorithm have been explored in detail. Then the author guides you on how to create and use bagged trees in machine learning. The random forest algorithm has been discussed in depth.

    The various types of Boosting algorithms have been explored. The author has given practical examples including mathematics and programming. Each of these examples is accompanied by clear explanation.

    Here is a preview of what you'll learn:

    • - An Overview of Ensemble Method
    • - Decision Tree Algorithm
    • - Bagging
    • - Random Forest
    • - Boosting