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    Billal
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    from17.10GBP/ h

    Computer Science: Data Science & AI, Algorithms, and ML Project Management

    I am a PhD student in computer science, holding a double degree: a Master's 2 International and an engineering degree in Data Science and Artificial Intelligence.
    I offer theoretical and practical courses specialized in the following areas:

    Python Programming:
    - Data Science
    - Machine Learning
    - Deep Learning: Convolutional Neural Networks, Natural Language Processing, Graph Neural Networks, Generative Adversarial Networks
    - Time Series

    C Programming:
    - Algorithms and Data Structures: arrays, linked lists, queues, stacks.

    Machine Learning Project Organization:
    - Structuring a project into packages and files on GitHub
    - Integrating the project with an MLOps platform like Neptune.ai
    - Creating jobs or execution scripts

    Tools used:
    - Python
    - PyTorch
    - GCC
    - VSCode
    - GitHub
    - Neptune.ai
    - Google Colab

    Bonus:
    Package publication on PyPI

    Courses are held on online platforms such as Google Meet or Microsoft Teams.

    Extra information

    Please bring your computer, a sheet of paper, and a pen ready for note-taking.

    Location

    Online via webcam

    General info

    Age:
    Children (7-12 years old)
    Teenagers (13-17 years old)
    Adults (18-64 years old)
    Seniors (65+ years old)
    Student level:
    Beginner
    Intermediate
    Advanced
    Duration:
    60 minutes
    90 minutes
    120 minutes
    The class is taught in:French, English

    About Me

    I am a PhD student in computer science and hold a dual degree in Data Science and Artificial Intelligence, with a solid experience in teaching programming, data science, and machine learning. I teach because I enjoy sharing my knowledge and seeing my students progress and achieve their goals. I particularly appreciate motivated and curious students who are not afraid to ask questions to better understand.

    My teaching approach is based on practice and interaction. I use many concrete examples to explain complex concepts, and I make sure to adapt my courses to the level and needs of each student. My goal is to make learning accessible and enjoyable while ensuring mastery of the required technical skills.

    I prioritize a personalized teaching method focused on student success, while creating a stimulating and supportive learning environment. My objective is for each student to leave the sessions with a deep understanding and a desire to learn more.

    This is the approach I offer to students and their parents to support them in their learning journey.

    Education

    - PhD student at the Conservatoire national des arts et métiers, Paris (currently)
    - Master 2 International in Computer Science
    - Engineering degree in Data Science and Artificial Intelligence

    Experience / Qualifications

    - Data Science and Artificial Intelligence
    - Applied Mathematics and Statistics
    - Flamenco guitarist and virtuoso musician

    Ask a question

    Send a message explaining your needs and Billal will reply soon:
    The more detail, the better.
    Ex. "Hi, when are you available to meet for a lesson?"

    Availability of a typical week

    (GMT -05:00) New York
    MonTueWedThuFriSatSun
    0              
    1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
    2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
    3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
    5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
    6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
    8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
    17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
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    from £17.10Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

    Online reputation

    • Instructor since September 2024
    • Google connected

    Availability of a typical week

    (GMT -05:00) New York
    MonTueWedThuFriSatSun
    0              
    1  Monday at 1:00  Tuesday at 1:00  Wednesday at 1:00  Thursday at 1:00  Friday at 1:00  Saturday at 1:00  Sunday at 1:00
    2  Monday at 2:00  Tuesday at 2:00  Wednesday at 2:00  Thursday at 2:00  Friday at 2:00  Saturday at 2:00  Sunday at 2:00
    3  Monday at 3:00  Tuesday at 3:00  Wednesday at 3:00  Thursday at 3:00  Friday at 3:00  Saturday at 3:00  Sunday at 3:00
    4  Monday at 4:00  Tuesday at 4:00  Wednesday at 4:00  Thursday at 4:00  Friday at 4:00  Saturday at 4:00  Sunday at 4:00
    5  Monday at 5:00  Tuesday at 5:00  Wednesday at 5:00  Thursday at 5:00  Friday at 5:00  Saturday at 5:00  Sunday at 5:00
    6  Monday at 6:00  Tuesday at 6:00  Wednesday at 6:00  Thursday at 6:00  Friday at 6:00  Saturday at 6:00  Sunday at 6:00
    7  Monday at 7:00  Tuesday at 7:00  Wednesday at 7:00  Thursday at 7:00  Friday at 7:00  Saturday at 7:00  Sunday at 7:00
    8  Monday at 8:00  Tuesday at 8:00  Wednesday at 8:00  Thursday at 8:00  Friday at 8:00  Saturday at 8:00  Sunday at 8:00
    9  Monday at 9:00  Tuesday at 9:00  Wednesday at 9:00  Thursday at 9:00  Friday at 9:00  Saturday at 9:00  Sunday at 9:00
    10  Monday at 10:00  Tuesday at 10:00  Wednesday at 10:00  Thursday at 10:00  Friday at 10:00  Saturday at 10:00  Sunday at 10:00
    11  Monday at 11:00  Tuesday at 11:00  Wednesday at 11:00  Thursday at 11:00  Friday at 11:00  Saturday at 11:00  Sunday at 11:00
    12  Monday at 12:00  Tuesday at 12:00  Wednesday at 12:00  Thursday at 12:00  Friday at 12:00  Saturday at 12:00  Sunday at 12:00
    13  Monday at 13:00  Tuesday at 13:00  Wednesday at 13:00  Thursday at 13:00  Friday at 13:00  Saturday at 13:00  Sunday at 13:00
    14  Monday at 14:00  Tuesday at 14:00  Wednesday at 14:00  Thursday at 14:00  Friday at 14:00  Saturday at 14:00  Sunday at 14:00
    15  Monday at 15:00  Tuesday at 15:00  Wednesday at 15:00  Thursday at 15:00  Friday at 15:00  Saturday at 15:00  Sunday at 15:00
    16  Monday at 16:00  Tuesday at 16:00  Wednesday at 16:00  Thursday at 16:00  Friday at 16:00  Saturday at 16:00  Sunday at 16:00
    17  Monday at 17:00  Tuesday at 17:00  Wednesday at 17:00  Thursday at 17:00  Friday at 17:00  Saturday at 17:00  Sunday at 17:00
    18              
    19              
    20              
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    from £17.10Online via webcam

    Good-fit Instructor Guarantee


    If you are not satisfied after your first lesson, Apprentus will find you another instructor or will refund your first lesson.

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