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    Machine learning course / project by Doctor in machine learning and actuarial science

    Translated by Google. Click to view original.
    Hello,
    I am an experienced machine learning teacher with 5 years of expertise in teaching this discipline at all levels. My expertise using Python and R allows me to teach different machine learning algorithms such as neural networks, decision trees and clustering algorithms. I am also experienced in using popular Python and R libraries such as TensorFlow, Keras, Scikit-learn and ggplot2.
    In addition to my machine learning skills, I am able to help students read and understand research papers for their presentations, as well as work on projects in Python and R. My commitment to machine learning is passionate and I enjoy sharing my knowledge with my students.
    If you are interested in my services as a machine learning teacher for all levels, do not hesitate to contact me.
    In addition to my machine learning skills, I am also able to help you with mathematics, statistics and dissertation writing.
    I am available to teach the following subjects:
    1.Python or R
    2. Data exploration
    3.Machine learning
    3.1. Intro ML
    3.2. Linear Model
    -> Linear Models for Regression and Classification
    3.3. kernel
    -> Kernelization
    3.4. Model selection
    3.5. model set,
    -> Bagging / RandomForest, Boosting (XGBoost, LightGBM,...) , Stacking
    3.6. Data preprocessing
    -> Data pre-processing
    -> Pipelines: choose the right preprocessing steps and models in your pipeline
    -> Cross validation
    3.7. Neural Networks
    -> Neural architectures
    -> Training neural nets: Forward pass: Tensor operations and Backward pass: Backpropagation
    -> Neural network design: Activation functions, weight initialization and Optimizers
    -> Neural networks in practice: Model selection, Early stopping, Memorization capacity and information bottleneck, L1/L2 regularization, Dropout, Batch normalization
    3.8. Convolutional Neural Networks
    -> Convolved Image
    -> Convolutional neural networks
    ->Data increase
    -> Model interpretation
    -> Using pre-trained networks (transfer learning)
    3.9. Neural Networks for text
    -> Bag of word representations, Word embeddings, Word2Vec, FastText, GloVe

    Extra information

    Translated by Google. Click to view original.
    In addition to my teaching in machine learning, I can also help my students prepare for job interviews for data scientist positions.

    I am currently doing a doctorate in applied mathematics at Paris 1. I obtained my two master's degrees in statistics (at paris 1) and in machine learning (at INSA Rouen).

    My research work focuses on the application of machine learning techniques to statistical problems. I am passionate about applying mathematics and computer science to solving real-world problems.

    Location

    Online via webcam
    At teacher's location: Place de Clichy, Paris, France

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    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
    The class is taught in:French, English

    About Me

    Translated by Google. Click to view original.
    I am passionate about applying mathematics and computer science to solving real-world problems.

    If you want to learn more about my professional background and skills. You will discover my professional experiences, achievements, and areas of interest there.


    I am passionate about applying mathematics and computer science to solving real-world problems.

    If you want to know more about my professional background and my skills. You will be able to discover my professional experiences, my achievements and my centers of interest.

    Education

    Translated by Google. Click to view original.
    I am currently pursuing a doctoral degree in applied mathematics at the University of Paris 1. I obtained my two master's degrees in statistics (at Paris 1) and machine learning (at INSA Rouen). My research work focuses on the application of machine learning techniques to statistical problems.


    I am currently doing a doctorate in applied mathematics at the University of Paris 1. I obtained my two master's degrees in statistics (at paris 1) and in machine learning (at INSA Rouen). My research work focuses on the application of machine learning techniques to statistical problems.

    Experience / Qualifications

    Translated by Google. Click to view original.
    I am a machine learning teacher with 5 years of experience and I am able to teach at all levels. I specialize in using Python and R to teach different machine learning algorithms, including neural networks, decision trees, and clustering algorithms.
    Hello ! If you're looking for a private Python tutor, you've come to the right place! I am a Python expert with several years of experience teaching this programming language. I can help you learn the basics of Python, as well as more advanced topics such as objects and classes. As a private teacher, I can adapt my lessons to your level and your individual needs to help you progress quickly. I can also show you how to use popular libraries like: NumPy: a library for scientific computing, which allows working with multidimensional arrays and performing high performance calculations. Pandas: a library for data analysis, which offers flexible and easy-to-use data structures for manipulating tabular data. Matplotlib: a library for data visualization, which allows you to create professional-quality graphs and figures. Scikit-learn: a library for machine learning, which offers supervised and unsupervised learning algorithms for data analysis. If you are interested, do not hesitate to contact me to discuss your needs and my availability. I look forward to working with you!

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    from C$77.10At teacher's location
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    Online reputation

    • Instructor since April 2023
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    from C$77.10At teacher's location
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    Prashil
    Home tutoring in Maths/Physics/Science for the (IB) or British Curriculum(IGCSE and A-levels).
    Welcome to my Maths, Physics and Science tutoring class, crafted especially for young minds preparing for IB MYP, IGCSE, and GCSE exams. As a passionate learner and dedicated tutor, I am committed to helping students not only comprehend but also develop a love for these captivating subjects. Here's what you can anticipate from my tutoring sessions Personalised Learning: Every learner is unique, and I believe in tailoring my teaching methods to suit each student's individual needs. I don't judge; instead, I concentrate on understanding their strengths and areas for improvement to create a supportive and encouraging learning environment. Concept Breakdown: I dissect complex topics into simpler, more manageable parts, making it easier for students to grasp challenging concepts and build a strong foundation in Physics and Science. Student-Centred Approach: I enjoy teaching students and continually strive to ignite their curiosity and passion for learning. I aim to make each lesson engaging and enjoyable, helping students recognise the real-world applications of what they learn. Shared Strategies: As a student who has successfully qualified for the Engineering Entrance exam test and is currently studying abroad on a fully funded scholarship, I bring my own learning strategies and study techniques to the table. These proven methods will help students achieve their academic goals. Continuous Improvement: I am always learning and growing, just like my students. This continuous improvement mindset, which I actively promote, inspires and motivates students to strive for their best. It enables me to stay updated with the latest educational trends and techniques, ensuring that my students receive the best possible guidance. Supportive Environment: I encourage students to ask questions, no matter how trivial they might seem. By creating a friendly and comfortable atmosphere, I ensure that students feel comfortable and open to express their doubts and curiosities, leading to a deeper understanding of the subjects.