Deep Learning Foundation : Linear Regression and Statistics | Видеокурсы и книги по темам. Video Tutorials and books

Deep Learning Foundation : Linear Regression and Statistics

Тема в разделе "Other courses", создана пользователем Администратор, авг 3, 2020.

  1. Администратор

    Администратор Administrator Команда форума

    [​IMG]Deep Learning Foundation : Linear Regression and Statistics — Udemy — Last updated 7/2020 — Free download


    Data science : Learn statistics behind linear regression and build your own working program from scratch in Python.

    What you’ll learn

    • Linear regression statistics basics
    • Assumptions of linear regression hypothesis testing sampling
    • Program your own version of a linear regression model in Python
    • Derive and solve a linear regression model, and apply it appropriately to data science problems
    Requirements
    • Jupyter notebook and simple python programming
    Description


    Hi Everyone welcome to new course which is created to sharpen your linear regression and statistical basics. linear regression is starting point for a data science this course focus is on making your foundation strong for deep learning and machine learning algorithms. In this course I have explained hypothesis testing, Unbiased estimators, Statistical test , Gradient descent. End of the course you will be able to code your own regression algorithm from scratch.

    Who this course is for:

    • Python developers curious about data science
    • data science and machine leaning engineers


    DOWNLOAD

    Filename: Deep Learning Foundation Linear Regression and Statistics.part1.rar (download)
    Filesize: 1.95 GB
    Filename: Deep Learning Foundation Linear Regression and Statistics.part2.rar (download)
    Filesize: 1.95 GB
    Filename: Deep Learning Foundation Linear Regression and Statistics.part3.rar (download)
    Filesize: 166.00 MB

    Course content: https://www.udemy.com/course/linear-regression-in-python-statistics-and-coding/

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    Скачать с облака. Download from the cloud

     

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