Machine Learning Mastering Course in Arabic | Udemy


Machine Learning Mastering Course in Arabic | Udemy

Machine Learning Mastering Course in Arabic | Udemy For tow days completely 100% Free during everything you want to Learn about Professional Course in Artificial Intelligence

This course is written by the very popular author from Udemy Ahmed Elesawy The most recent Last updated 8/2021. The language of this course is Arabic, but also have sub-titles (captions) in Arabic [AR] languages to better understand. This course is shared under the categories Data Science, Machine Learning

More than 7,589 students had already enrolled. in the The Machine Learning Mastering Course in Arabic | Udemy Which makes it one of the more popular courses on Udemy. You can free coupon Code the course from the registration link below. It has a rating of 4.7 given by  ( 154 ratings), which also makes it one of the highest rated courses at Udemy. 

The Udemy The Machine Learning Mastering Course in Arabic free coupons also 12 hours on demand video, 3 articles, 11 downloadable, resources, full lifetime, access on mobile and television, assignments, completion certificate and many more.

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Is this course right for you?

If you are wondering what you will learn or what things this best Udemy courses  will teach you after getting courses Udemy free coupon. Learn Machine Learning Mastering Course in Arabic | Udemy: Okay, here are a few things.

  • Anyone who wants to enter the field of artificial intelligence and learn the specialty of machine learning and become a professional in this field

    Requirements Course:

    1. You only need to know the basics of the Python programming language

    Description Course:

    السلام عليكم ورحمه الله وبركاته ،

    Welcome to the professional course to learn the field of machine learning, which is one of the most important specializations in the field of artificial intelligence, and it is the most in demand in the labor market and the highest salary in the field of software and technology.

    God willing, in this course, I will first build you the basics of mathematics that you need to start in the field, especially in the algebra and statistics branch.

    Then we will enter the world of libraries that we will need in the Python programming language, such as:
    • Nambay Mathematical Operations Library
    • Pandas library for dealing with data, tables and files
    Matplotlib library for graphics and statistical figures

    Seaborn's Drawing Library too

    Then we will move on to explaining machine learning algorithms and their mathematical equations, which we will explain each part in detail and in an easy way that does not have any complications so that you can understand them, whatever your level of mathematics. We understand all the details and stages during the application and work, and these are the topics that we will address:

    Prediction algorithms

    Classification Algorithms
    • neural networks
    • divisions (clusters)
    Modern techniques and algorithms

    I hope that you benefit from this course and that you enjoy this journey as I enjoy explaining this course and I wish you continued success.

    What I am going to learn?

    • You will learn what is the field of artificial intelligence and what is the meaning of machine learning
    • You will learn the types of machine learning
    • You will learn the necessary mathematical topics from statistics and algebra to start in the field of machine learning
    • You will learn the necessary libraries of the Python programming language
    • You will learn the mathematical equations for each algorithm + detailed explanation of the algorithm
    • You will learn how to implement algorithms and equations in Python code
    • We will work on many examples and projects

    ✅ Last updated 8/2021 | 
    ✅ MP4+ PDF | 
    ✅ Language: Arabic | 
    ✅ Full lifetime access | 
    ✅ Certificate of completion | 
    ✅ Free Price $89.99 100% Off |
    ✅ 2021/9/24 VALID |
    ❌ 2021/9/26 EXPIRED |

    • You will become a professional in machine learning