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

    DROSIA SERENITY
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    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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    Data Science Projects with Python: A case study approach to gaining valuable insights from real data, 2nd Edition

    Posted By: yoyoloit
    Data Science Projects with Python: A case study approach to gaining valuable insights from real data, 2nd Edition

    Data Science Projects with Python, Second Edition
    by Stephen Klosterman

    English | 2021 | ISBN: 1800564481 | 433 pages | True (PDF EPUB MOBI) | 76.08 MB

    Gain hands-on experience of Python programming with industry-standard machine learning techniques using pandas, scikit-learn, and XGBoost
    Key Features

    Think critically about data and use it to form and test a hypothesis
    Choose an appropriate machine learning model and train it on your data
    Communicate data-driven insights with confidence and clarity

    Book Description

    If data is the new oil, then machine learning is the drill. As companies gain access to ever-increasing quantities of raw data, the ability to deliver state-of-the-art predictive models that support business decision-making becomes more and more valuable.

    In this book, you’ll work on an end-to-end project based around a realistic data set and split up into bite-sized practical exercises. This creates a case-study approach that simulates the working conditions you’ll experience in real-world data science projects.

    You’ll learn how to use key Python packages, including pandas, Matplotlib, and scikit-learn, and master the process of data exploration and data processing, before moving on to fitting, evaluating, and tuning algorithms such as regularized logistic regression and random forest.

    Now in its second edition, this book will take you through the end-to-end process of exploring data and delivering machine learning models. Updated for 2021, this edition includes brand new content on XGBoost, SHAP values, algorithmic fairness, and the ethical concerns of deploying a model in the real world.

    By the end of this data science book, you’ll have the skills, understanding, and confidence to build your own machine learning models and gain insights from real data.
    What you will learn

    Load, explore, and process data using the pandas Python package
    Use Matplotlib to create compelling data visualizations
    Implement predictive machine learning models with scikit-learn
    Use lasso and ridge regression to reduce model overfitting
    Evaluate random forest and logistic regression model performance
    Deliver business insights by presenting clear, convincing conclusions

    Who This Book Is For

    Data Science Projects with Python – Second Edition is for anyone who wants to get started with data science and machine learning. If you’re keen to advance your career by using data analysis and predictive modeling to generate business insights, then this book is the perfect place to begin. To quickly grasp the concepts covered, it is recommended that you have basic experience of programming with Python or another similar language, and a general interest in statistics.