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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.
    Whether for living or investment, this is a rare opportunity in a strategic and desirable location.

    Machine Learning for Decision Sciences with Case Studies in Python

    Posted By: naag
    Machine Learning for Decision Sciences with Case Studies in Python

    Machine Learning for Decision Sciences with Case Studies in Python
    English | 2022 | ASIN: B0B1T2R4QP | 454 pages | Mobi | 12.34 MB

    This book provides a detailed description of machine learning algorithms in data analytics, data science life cycle, Python for machine learning, linear regression, logistic regression, and so forth. It addresses the concepts of machine learning in a practical sense providing complete code and implementation for real-world examples in electrical, oil and gas, e-commerce, and hi-tech industries. The focus is on Python programming for machine learning and patterns involved in decision science for handling data.

    Features:

    Explains the basic concepts of Python and its role in machine learning.
    Provides comprehensive coverage of feature engineering including real-time case studies.
    Perceives the structural patterns with reference to data science and statistics and analytics.
    Includes machine learning-based structured exercises.
    Appreciates different algorithmic concepts of machine learning including unsupervised, supervised, and reinforcement learning.
    This book is aimed at researchers, professionals, and graduate students in data science, machine learning, computer science, and electrical and computer engineering.