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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

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    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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    "Component Analysis Principal New Insights" ed. by Fausto Pedro García Márquez, et al.

    Posted By: exLib
    "Component Analysis Principal New Insights" ed. by Fausto Pedro García Márquez, et al.

    "Component Analysis Principal New Insights" ed. by Fausto Pedro García Márquez, Mayorkinos Papaelias, René Vinicio Sánchez Loja
    ITexLi | 2024 | ISBN: 0854662650 9780854662654 0854662669 9780854662661 0854662677 9780854662678 | 161 pages | PDF | 11 MB

    This volume on principal component analysis (PCA) explores the core analyses and case studies within this field, incorporating the latest advancements. The book emphasizes the integration of PCA with other algorithms and methodologies, highlighting the enhancements achieved through combined approaches.

    Principal Component Analysis

    Posted By: AvaxGenius
    Principal Component Analysis

    Principal Component Analysis by I. T. Jolliffe
    English | PDF | 2002 | 513 Pages | ISBN : 0387954422 | 6.8 MB

    Principal component analysis is central to the study of multivariate data. Although one of the earliest multivariate techniques, it continues to be the subject of much research, ranging from new model-based approaches to algorithmic ideas from neural networks. It is extremely versatile, with applications in many disciplines.
    The first edition of this book was the first comprehensive text written solely on principal component analysis. The second edition updates and substantially expands the original version, and is once again the definitive text on the subject. It includes core material, current research and a wide range of applications. Its length is nearly double that of the first edition.

    Machine Learning: Principal Component Analysis in Python

    Posted By: lucky_aut
    Machine Learning: Principal Component Analysis in Python

    Machine Learning: Principal Component Analysis in Python
    Last updated 2023-02-10
    Duration: 02:45:46 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 1.11 GB
    Genre: eLearning | Language: English [Auto]

    Learn to apply Principal Component Analysis in Python from a Data Science expert. Code templates included.

    Machine Learning: Principal Component Analysis In Python

    Posted By: Sigha
    Machine Learning: Principal Component Analysis In Python

    Machine Learning: Principal Component Analysis In Python
    Last updated 2/2023
    MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
    Language: English | Size: 1.11 GB | Duration: 2h 46m

    Learn to apply Principal Component Analysis in Python from a Data Science expert. Code templates included.

    Machine Learning: Principal Component Analysis in Python

    Posted By: lucky_aut
    Machine Learning: Principal Component Analysis in Python

    Machine Learning: Principal Component Analysis in Python
    Last updated 2022-12-26
    Duration: 02:06:09 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 883 MB
    Genre: eLearning | Language: English [Auto]

    Learn to apply Principal Component Analysis in Python from a Data Science expert. Code templates included.