Tags
Language
Tags
<<
June 2025
Su Mo Tu We Th Fr Sa
1 2 3 4 5 6 7
8 9 10 11 12 13 14
15 16 17 18 19 20 21
22 23 24 25 26 27 28
29 30 1 2 3 4 5
    Attention❗ To save your time, in order to download anything on this site, you must be registered 👉 HERE. If you do not have a registration yet, it is better to do it right away. ✌
    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.

    1. Home
    2. eBooks & eLearning
    3. The Complete Linear and Logistic Regression Course in Python

    The Complete Linear and Logistic Regression Course in Python

    Posted By: lucky_aut
    Date: 16 Feb 2023 14:02:23
    The Complete Linear and Logistic Regression Course in Python

    The Complete Linear and Logistic Regression Course in Python
    Last updated 2023-01-26
    Duration: 04:46:33 | .MP4 1280x720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.32 GB
    Genre: eLearning | Language: English

    Lasso and Ridge Regression, Elastic Net Regression, Linear Regression, Logistic Regression, pickle, tempfile.
    What you'll learn
    Tensorflow
    Tensorboard
    pandas
    ReLU activation function.
    Seaborn
    Google Colab
    Import data from the UCI repository.
    scikit-learn
    Logistic Regression.
    Linear Regression.
    numpy
    pickle
    tempfile
    Lasso and Ridge Regression
    Elastic Net Regression
    Multiple and multivariate linear regression
    TensorFlow Keras API
    Requirements
    Basic knowledge of Python is required.
    Description
    Are you interested in Machine Learning, Deep Learning, and Artificial Intelligence? Then this course is for you!
    A software engineer has designed this course. With the experience and knowledge I gained throughout the years, I can share my knowledge and help you learn complex theories, algorithms, and coding libraries.
    I will walk you into the world of the Naive Bayes Algorithm. These are fundamental concepts in machine learning, deep learning, and artificial intelligence. Understanding these basic concepts makes it easier to understand more complex concepts in machine learning, deep learning, and artificial intelligence. There are no courses out there that cover Naive Bayes Algorithm. However, Naive Bayes Algorithm techniques are used in many applications. So it is essential to learn and understand Linear and Logistic Regression. With every tutorial, you will develop new skills and improve your understanding of this challenging yet lucrative sub-field of Data Science.
    This course is fun and exciting, but at the same time, we dive deep into Linear and Logistic Regression. Throughout the brand new version of the course, we cover tons of tools and technologies, including:
    Google Colab
    Scikit-learn
    Logistic Regression.
    Linear Regression.
    Seaborn
    Lasso and Ridge Regression
    Keras.
    Pandas.
    TensorFlow. 
    TensorBoard
    Matplotlib.
    Elastic Net Regression
    Import data from the UCI repository.
    Multiple and multivariate linear regression.
    TensorFlow Keras API
    Moreover, the course is packed with practical exercises based on real-life examples. So not only will you learn the theory, but you will also get some hands-on practice building your models. There are several big projects in this course. These projects are listed below:
    Diabetes project.
    Breast Cancer Project.
    Housing project.
    MNIST Project.
    By the end of the course, you will have a deep understanding of Linear and Logistic Regression, and you will get a higher chance of getting promoted or a job by knowing Linear and Logistic Regression.

    Who this course is for:
    Anyone interested in Machine Learning.
    Students who have at least high school knowledge in math and who want to start learning Machine Learning, Deep Learning, and Artificial Intelligence
    Any people who are not that comfortable with coding but who are interested in Machine Learning, Deep Learning, Artificial Intelligence and want to apply it easily on datasets.
    Any students in college who want to start a career in Data Science
    Any people who want to create added value to their business by using powerful Machine Learning, Artificial Intelligence and Deep Learning tools. Any people who want to work in a Car company as a Data Scientist, Machine Learning, Deep Learning and Artificial Intelligence engineer.

    More Info
    UPWARDS