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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.

    Principles of Data Science

    Posted By: Grev27
    Principles of Data Science

    Sinan Ozdemir, "Principles of Data Science"
    English | ISBN: 1785887912 | 2017 | PDF/EPUB/MOBI | 490 pages | 11 MB/12 MB/19 MB

    Key Features

    Enhance your knowledge of coding with data science theory for practical insight into data science and analysis
    More than just a math class, learn how to perform real-world data science tasks with R and Python
    Create actionable insights and transform raw data into tangible value
    Book Description
    Need to turn your skills at programming into effective data science skills? Principles of Data Science is created to help you join the dots between mathematics, programming, and business analysis. With this book, you'll feel confident about asking―and answering―complex and sophisticated questions of your data to move from abstract and raw statistics to actionable ideas.

    With a unique approach that bridges the gap between mathematics and computer science, this books takes you through the entire data science pipeline. Beginning with cleaning and preparing data, and effective data mining strategies and techniques, you'll move on to build a comprehensive picture of how every piece of the data science puzzle fits together. Learn the fundamentals of computational mathematics and statistics, as well as some pseudocode being used today by data scientists and analysts. You'll get to grips with machine learning, discover the statistical models that help you take control and navigate even the densest datasets, and find out how to create powerful visualizations that communicate what your data means.

    What you will learn

    Get to know the five most important steps of data science
    Use your data intelligently and learn how to handle it with care
    Bridge the gap between mathematics and programming
    Learn about probability, calculus, and how to use statistical models to control and clean your data and drive actionable results
    Build and evaluate baseline machine learning models
    Explore the most effective metrics to determine the success of your machine learning models
    Create data visualizations that communicate actionable insights
    Read and apply machine learning concepts to your problems and make actual predictions