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    Dorian
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    from37.40EUR/ h

    Machine Learning or Python Programming courses (all levels)

    Translated by Google. Click to view original.
    Machine Learning and Data Science are very advanced fields and, as such, in fashion. They are major tools for any new technology and the school is lagging behind in teaching these skills.

    In addition, these skills are theoretical as well as practical skills, and the multiple online courses focus on practice, forgetting that companies are not only looking for performers, but also experts in the intelligent use of these tools.

    Having advanced theoretical training in this field, along with more than 2 years of field experience in information programming associated with machine learning, I propose to teach you this subject, both theory and practice, at the option of courses combining the two aspects of the thing.

    Extra information

    Translated by Google. Click to view original.
    No training, theoretical or practical, is required. But I will adapt to the knowledge of the student and, if he / she does not know anything in applied mathematics or programming, the amount of time to plan will be important.

    Location

    At student's location: Around Longueuil, 10, Canada

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    General info

    Age:
    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

    Translated by Google. Click to view original.
    - I am a young Frenchman of 25, in Montreal for work and enthusiastic about the idea of discovering Quebec and the people of Quebec!
    - Coming from French fields of excellence in theoretical and applied mathematics, I pushed the love of mathematics to the point of teaching, during private lessons and preparatory classes, mathematics at the highest level
    - I have trained many students in oral mathematics competitions, with an emphasis not on magical methods but on pedagogy, to help students form reasoning, understand demonstrations and apply them. My students have always recommended me for my patience and my pedagogy.

    Education

    Translated by Google. Click to view original.
    Preparatory classes at the Lycée Saint Louis (Paris)
    Master Grande Ecole, HEC Paris
    Master in Data Science / Advanced Statistics, ENSAE Paris
    2 years of experience in Data Science applied to insurance and finance

    Experience / Qualifications

    Translated by Google. Click to view original.
    Private lessons for 4 years, at a rate of 3 students per year, 2 hours per week
    Oral high-level mathematics exams, for 3 years
    A former student of HEC Paris and ENSAE Paris (School of Applied Mathematics and Statistics of the Institut Polytechnique Paris), I did high-level mathematics and now work as a data scientist and statistician in the service of financial institutions. My course in France is one of the most demanding in mathematics and I was an oral interrogator for preparatory classes in France, preparing students for oral mathematics for the competition. In France, I gave hundreds of hours of private lessons but also, therefore, in preparatory classes. I teach all levels, up to the most advanced. My students generally recommend me for my pedagogy and my ability to explain complex reasoning graphically, and therefore clearly. I prefer teaching in the presence, even if it is possible to teach by webcam.

    Ask a question

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

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    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 2021
    • Phone number verified
    • Linkedin connected

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    from 37.40€At student's home

    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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    Radouan
    Comprehensive Thesis Support in Statistics, Probability, and Data Analysis Using R
    Comprehensive Thesis Support in Statistics, Probability, and Data Analysis Using R For Bachelor’s, Master’s, and Doctoral Students – All Disciplines Are you currently preparing your final thesis, research paper, or academic dissertation and struggling with the statistical component, data analysis, or the use of R software? I offer specialized, high-level academic support for students and researchers needing assistance in designing, executing, and presenting quantitative research using rigorous statistical methods and advanced data analysis with R. --- Who I Help Students and early-career researchers in fields such as: Economics, Finance, Business & Marketing Management & Human Resources Psychology, Education, Sociology & Political Science Public Health, Epidemiology & Medicine Engineering, Environmental Sciences & Urban Studies Data Science, Computer Science, Mathematics & Machine Learning Whether you're a beginner in statistics or already comfortable with data but unsure how to structure your work academically — I adapt to your needs. --- Detailed Services Offered 1. Research Design & Statistical Methodology Refining research questions and translating them into statistical hypotheses Identifying appropriate study designs (experimental, quasi-experimental, cross-sectional, longitudinal, etc.) Selection of variables, metrics, and scales Determining sample size and statistical power (power analysis) Building conceptual and analytical frameworks 2. Data Analysis Using R Data cleaning and wrangling (dplyr, tidyr, data.table, etc.) Exploratory data analysis (EDA) with graphical and statistical summaries Statistical testing: t-tests, ANOVA, chi-square, Mann-Whitney, Wilcoxon, etc. Regression models: Linear regression Logistic regression Multinomial and ordinal regression Poisson and negative binomial models Panel data models Multivariate techniques: PCA (Principal Component Analysis) Factor Analysis Cluster Analysis (k-means, hierarchical) Correspondence Analysis Machine Learning (optional): Decision trees, Random Forests, SVM, etc. Time series analysis (ARIMA, Holt-Winters, Exponential smoothing) Data visualization using ggplot2, plotly, shiny dashboards (on request) Code optimization and creation of custom reusable scripts 3. Writing and Structuring Statistical Sections Assistance with writing the methodology and results sections: In proper academic English (or French) With clarity, scientific accuracy, and structured argumentation Proper interpretation of p-values, confidence intervals, effect sizes, R2, etc. Integration of graphs, tables, and summary statistics directly from R Help with organizing appendices (data tables, code snippets, raw outputs) 4. Proofreading, Review, and Feedback In-depth review of your full draft Correction of technical and logical inconsistencies in the statistical reasoning Advice on improving academic flow and clarity Formatting guidance (APA, MLA, Chicago, Harvard, etc.) 5. Coaching & Pedagogical Support One-on-one coaching sessions tailored to your level and project Explaining every concept and technique so that you understand and own your thesis Simulation and walkthrough of a potential thesis defense or presentation Tips on how to explain your statistical choices and justify your findings to your supervisor or jury --- Languages & Communication Work in English or French Clear, responsive communication Support available via email, Zoom, Google Meet, or your preferred platform Live screen sharing, real-time R coding, file exchange, and collaborative editing via Google Docs or Overleaf --- Flexible and Transparent Work Format One-time assistance (specific problem or section) Ongoing support throughout the thesis process (several weeks/months) Help available even on weekends and evenings Discretion, confidentiality, and academic integrity guaranteed --- Why Work With Me? Over 20 years of experience in mathematics and teaching Master’s degree in Mathematics with specialization in mathematics education and applied statistics Practical expertise as a data analyst, working on real-world datasets and academic projects Strong command of R, as well as experience with SPSS, Excel, Python (on request) Successful track record of supporting dozens of students in completing theses in Europe, North Africa, and North America