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I'm a working MEP engineer, currently building Python automation for Revit workflows daily - plan checks, model coordination, and repetitive drafting tasks. I teach other engineers, architects, and BIM professionals how to do the same, using pyRevit and real project workflows, not toy examples. Topics include: pyRevit fundamentals and setup Automating repetitive Revit tasks (model checks, plan generation, data extraction) Writing custom scripts for your firm's specific workflows Applying Python automation to real MEP/BIM projects

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Are you a university student, engineer, or professional who needs to actually use data — not just learn theory about it? This course is built around real problems and real code. We skip the textbook formulas and go straight to applying statistics and data science the way professionals do: with Python (pandas, NumPy, scikit-learn, matplotlib) and R (RStudio). What we cover, adapted to your level and goals: - Descriptive and inferential statistics (the ones that actually matter) - Data cleaning, exploration, and visualization - Regression, classification, and intro to machine learning - Time series and forecasting basics - R for statistical analysis and academic research Who this is for: - University students in statistics, economics, engineering, or biology - Professionals wanting to move into data analysis or data science - Researchers who need to process and present data properly I use Python and R professionally as a working engineer — everything I teach comes from real application, not just academic exercises.

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You will learn Systematic Reasoning & Logical Thinking which is a requirement for entering Computer Science program in many universities. The book “Delftse Foundations of Computation” especially its second chapter will be the main source of our lesson, but other more in-depth books will be also covered if you want to improve even further on logical thinking. The topics in our lesson include: • Propositional Logic: Logical operators; Precedence rules; Logical equivalence; Implications in English; Exclusive or; Universal operators; Classifying propositions • Boolean Algebra: Substitution laws • Logic Circuits: Logic gates; Combining gates to create circuits; From circuits to propositions; Disjunctive Normal Form; Binary addition. • Predicate Logic: Predicates; Quantifiers; Tarski’s world and formal structures; • Deduction: Valid arguments and proofs; Proofs in predicate logic If you have any additional questions before starting a class, please feel free to ask me. I am here to assist! :)

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Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

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Would you like to be better at using your computer and feel more confident using Word, Excel, and PowerPoint? Do you struggle to create a well-presented document, organize information in Excel, or prepare a presentation? Have you heard about Artificial Intelligence, but aren't quite sure how to use it in your daily life? This class is designed especially for adults who want to learn or improve their Microsoft Office skills, without needing any prior experience. The idea is simple: learn by doing, with clear explanations, practical exercises and examples that you can actually apply in your work, studies or personal life. We will work with: -Word: creating and editing documents, formatting, tables, images, professional documents, letters, resumes and other common tasks. -Excel: data organization, tables, formulas, basic functions, filters, graphs and tools that will help you work faster and more efficiently. -PowerPoint: creating attractive presentations, organizing content, images, design and resources to better communicate your ideas. -Artificial Intelligence: we will learn to use AI tools in a simple and practical way to write, summarize, organize information, generate ideas, improve documents and save time on certain tasks. It's not about memorizing menus or learning complicated computer skills. We'll go step by step, starting with what you need and adapting to your level. The classes are individual and personalized, so we can focus especially on what interests you most: improving your professional skills, preparing for an interview or a resume, organizing your documents, learning Excel from scratch, making presentations, using AI, or simply gaining autonomy and confidence in front of the computer. And something I consider especially important: no question is too basic. If you've been thinking for a while, "I should know how to do this, but I don't know how," this could be a good time to learn. Because learning about computers is not just about knowing how to use a program. It's about gaining autonomy, saving time, and feeling that technology works in your favor, not the other way around.

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Don't settle for anything less than excellence. I am an Aerospace Engineer with a Master's degree in Quantum Physics and have completed Ph.D. work at the University of Cambridge in Computational Physics. Additionally, I have 4 years of experience developing MATLAB and possess deep programming skills in MATLAB/Simulink family, C/C++, Fortran, and Python. With over 12 years of tutoring experience, I have successfully guided more than 50 students worldwide to achieve distinction in various fields. Consistent results are my priority, and I strive for excellence in all aspects of my teaching. My lessons are customized to meet each student's unique needs and are designed to be engaging and insightful. Whether you are at a school level or require advanced or professional-level instruction, I offer support in the following areas: - Preparation for IB/IA, A-Levels, GCSE, University Entry, or equivalent. - Experience in preparing students to access world-class schools and universities, including Cambridge University, Oxford, Ivy League and other top institutions in the UK and US. - University levels (undergraduate and postgraduate). - High school studies and diploma programs. - Assistance with specific projects at a professional level, including job interview preparation. - Extensive experience working with children. Every lesson is meticulously planned in advance to ensure that it aligns with your goals and targets areas for improvement. I prioritize a dynamic and interactive learning experience, with one-on-one sessions tailored to your individual requirements. Lessons will be conducted via webcam, enabling you to connect from anywhere. I have a highly flexible schedule and can adapt to accommodate your needs. If you have any questions about my teaching method, availability, or pricing, please don't hesitate to reach out. I am here to assist you and provide the support you need.

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I lead individual and group lessons. Why is chess for you? Chess is a game played by prominent statesmen, military leaders and IT specialists. Chess is an intellectual exercise in an interesting game form with a proven positive impact on the quality of life. Chess is the only sport that has grown globally during the quarantine. Technique: evoke positive emotions through chess, motivate Materials: The author uses known information, namely the games of the best chess players in the world, including Ukraine. I have candidacy points (victory over KMS in the tournament) in the semifinals of Ukrainian classical chess under 14 and 16 years old. My international FIDE rating: std 1814, rapid 1821, blitz 1759 My national rating according to Chess Federation of Ukraine: 1949 Helped a 5 year old student complete 4th grade (grade D). I teach in English, Ukrainian and Russian

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Stuck in Excel? Want to finally understand how those formulas really work? Do you need to create a pie chart of your expense report for work or school, but feel completely lost? Don’t worry! I’m here to help... at your pace, with no jargon or complicated explanations. Whether you: - are starting completely from scratch, - already have some basic knowledge, - or want to solve a specific problem, we’ll tailor the session to your needs. No one-size-fits-all course, just practical help that actually works for you. 👨‍🏫 About me I’ve been using Excel since I was a teenager — for personal use (like budgeting tools or calorie trackers) and professionally as part of my work and studies in data analysis. Thanks to my experience and structured approach, I explain Excel in a clear and understandable way. I know how frustrating it can be when something technical doesn’t work... and how satisfying it feels when it finally clicks. 🎯 Topics we can cover - Smart formulas (IF, VLOOKUP, INDEX, MATCH, etc.) - Creating charts, pivot tables, and dashboards - Using Excel for budgeting, planning, or managing projects - Data analysis and basic programming in Excel - Preparing for Excel tests or improving job-related Excel skills 💻 Practical info - Having your own laptop/PC is helpful, but not required - Online or in-person sessions possible - Have specific questions or files you’d like to work on? Let me know! I also have my own practice materials. Feel free to send me a message with your question or goal. I’ll gladly look at how I can help you out!

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Welcome! I have already completed my master’s degree in mechanical engineering and am currently doing my doctorate. Tutoring is offered in ✔AutoCAD ✔CREO ✔NX ✔SolidEdge ✔Inventor ✔SolidWorks ✔Ansys ✔CFX ✔Fluent ✔OpenFoam ✔Word ✔OneNote ✔Excel ✔Visio ✔Matlab ✔Simulink ✔German ✔English + other subjects on request When contacting please Class / study / training and subject notify! I'm looking forward to your messages.

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Objective: To understand AI without fear, to use it to simplify one's life, to know how to identify digital traps, and to use Word, Excel, etc. without difficulty. 1: Demystifying AI (What exactly is it?) AI is not a movie robot: Difference between fiction and reality. How it works (simply): The image of the "giant library": AI has read billions of books and uses them to predict the continuation of a sentence or create an image. Where is it already present? Spell checkers, Netflix/YouTube suggestions, GPS, and voice assistants (Siri/Alexa). 2: Using AI to make life easier Conversing with AI (ChatGPT, Claude, Gemini): Ask him to write an administrative email or a complex letter. Summarize a long newspaper article or document. Plan a travel itinerary or find recipe ideas with what's left in the fridge. AI for creativity and memory: Generate images to illustrate a birthday card (Midjourney, DALL-E). Using AI to restore or colorize old family photos. 3: Learning to "talk" to AI (The Art of the Prompt) The context method: Why "Give me a cake recipe" is less effective than "I am allergic to gluten and I am hosting 4 people, give me a simple chocolate cake recipe". The expert's role: Learning to tell AI "Act like a travel guide" or "Act like an expert gardener". 4: Precautions and Critical Thinking (The Survival Guide) "Hallucinations": Understand that AI can make false claims with complete certainty (never take medical or legal advice from AI without verification). Privacy protection: Never give sensitive data (social security number, passwords, bank details) to an AI. Knowing that everything we write to the AI is potentially used to train it. Spotting "Deepfakes": How to recognize a doctored image or video (details on the hands, strange reflections, slightly metallic voice). Verify the information: the golden rule of cross-referencing sources. 5: Ethics and Impacts (To go further) Copyright: Who owns an image created by AI? The environmental impact: The water and energy consumption of AI servers. The future: Will AI replace us or assist us?

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As a Franco-Belgian management teacher, I give Excel lessons with passion! Whether remotely or face-to-face, I offer many examples and exercises to accompany you. I travel without problem throughout the region of Brussels and its surroundings, for lessons of at least 2 hours. For France, courses are only given remotely. Here are some key words that will be covered in my classes: Scenario analysis, Year, Rounding, Today, Bdnb, Bdnbval, Bdsum, Search, Column, Copy/paste in values, Copy/paste with transposition, Consolidation, Date, Datedif, Determat, Dollar, Right, Righterg, Equiv, Esterror, Estna, Frequency, Filter (simple and advanced), Format of cells, Left, Large.Value, Printing of documents, Index, Indirect, Inversemat, Day, Weekday, Line, Matrix, Max, Maxa, Max.Si, Min , Mina, Mina.If, Formatting of cells and ranges, Month, Average, Average.If, Nb, Nb.If, Nbval, Naming of cells and ranges, No, Small.value, Product, Productmat, Protection of cells, Lookup (Lookup), Lookupv (VLookup), Lookuph (HLookup), If (If), If.Not.Disp, If.Conditions, Iferror, Sum, Sumproduct, Sum.If, Sum.If.Set, Substitute , Pivot tables, Sorting, Cell locking Do not hesitate to contact me to organize your lessons according to your needs and availability. Together, we will develop your Excel skills in an efficient and personalized way.

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With over seven years of experience in teaching Computer Science & Information Technology (ICT), I have developed a strong expertise in delivering high-quality education across multiple internationally recognized curricula, including Cambridge IGCSE, GCSE, A-Levels, O-Levels, and Checkpoint. My passion lies in equipping students with coding, cybersecurity, and digital literacy skills, ensuring they are well-prepared for the evolving demands of the digital world. Expertise & Teaching Areas: ✅ Programming & Software Development: Python, Java, C++ ✅ Cybersecurity: Ethical hacking, data protection, network security ✅ Digital Literacy: ICT applications, online safety, cloud computing ✅ Data Science & AI: Data analysis, machine learning fundamentals ✅ Web Development: HTML, CSS, JavaScript Curriculum & Pedagogical Experience: 🔹 Cambridge IGCSE & GCSE ICT & Computer Science – Teaching core and extended syllabi, focusing on programming logic, databases, and networking. 🔹 Cambridge A-Levels & O-Levels Computer Science – Preparing students for advanced computing concepts, problem-solving, and algorithm development. 🔹 Cambridge Checkpoint ICT – Building foundational skills in digital technology and computer applications. Professional Impact: 📌 Mentored students to achieve top grades in Cambridge ICT & Computer Science exams. 📌 Developed interactive lesson plans integrating real-world applications of technology. 📌 Conducted coding boot camps and cybersecurity workshops to enhance practical learning. 📌 Guided students in project-based learning, including app development and website design. With a strong commitment to student-centered learning and technological innovation, I am dedicated to shaping future tech leaders and empowering learners with skills relevant to careers in technology, data science, and software development.

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How to prepare for a media interview? What means should be used to fight his fear of the camera and improve his image? How to present yourself and your project in front of a camera? How to present yourself and your project to the media? Targeted content according to your project: Verbal and / or gestural communication; Seduction of the lens and / or microphone; Improvisation in front of a microphone and / or a camera; Voice & gaze; Games of one or two cameras; Chronic; Animation; Reportage; Direct radio & TV; Interview; Narration; Speech in all its forms (...) In short, several objectives: ◾ Confront your shyness in front of the microphone / camera. ◾ Understand his speech and his diction. ◾ Taming the media environment (radio / tv). ◾ Familiarize yourself with your image and voice. ◾ Manage your speaking time. Through exercises (diction, voice, presence, breathing, presentations, time management, etc.), role plays, interview simulations and familiarization with one's image and voice, the participants move at their own pace in a flexible educational framework. Note that during the videoconference session, all the notes are transcribed in the chat so that you can access them at any time when you wish. Indeed, speaking is a predominantly physical activity, which, while taking care of its image, is based on a body, a voice, a breath, a rhythm (diction) and an emotion (the imagination and the sensations ) reflecting the speaker's involvement in his speech. How to send a clear message? How to make the difference, to make an impression? Knowing how to speak, act and interact in public is almost a necessity today: your public speaking must be effective and efficient with clear, simple and powerful messages. Simple and pragmatic tools will be presented for: generating listening ● making an impression ● fostering confidence ● generating need ● motivating teams by explaining a strategy ● getting messages across within groups ● overcoming shyness by assimilating 3 CRV axes (body-breathing-voice) ● better manage disagreement or conflict. Mastered, the method allows: • improve self-confidence and stress management with the development of the speaker's fluency (verbal-bodily), his public speaking and his sense of repartee and improvisation. • to work on their ease, leadership, charisma, creativity and personal development through scenarios. * improve the characteristics of the spoken voice (timbre, pitches, intention, flow). * get your message across through your image, while gaining improvisation skills and responsiveness. Supplemented by basic exercises (diction, voice, presence, breathing, presentation, time management), role plays, improvisations and simulations. With the key word: pronunciation, diction / articulation, the sense of repartee. Statistically, the progression following these private sessions is quickly noticeable, from 2 sessions. ( study 2020). Trained in Grande Ecole post-preparatory classes & Ivy League university in the United States, specialized and has worked for more than 15 years, in Europe and North America, in the field of communication and public speaking, in renowned international public and private establishments, intervening in forums and conferences, and oriented on pedagogy and careful methodology. - Locations: Geneva - Lausanne - Friborg - Neuchâtel - Montreux - Basel - Sion - Sierre - Morges - Bienne. But currently and until further notice, only by videoconference in accordance with national recommendations on Covid. These sessions also seem to be perfectly unanimous since they have the advantages of live (example: quality of the interaction), without its disadvantages (example: loss of travel time), with additional advantages (example: of notes on the chat, which can be reread afterwards). In this context, these videoconference sessions for which you have requested me, seem to suit everyone perfectly, take place in a very optimal way and generate a certain enthusiasm (and a certain enthusiasm). That is why, at your request, I continue to offer this option. Take good care of yourself and yours! PROGRAM À la carte program: evaluated and adapted to each need.

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This course introduces students to the fundamentals of Information and Communication Technology (ICT) and its role in modern society. Topics include computer hardware and software, digital communication tools, internet technologies, data management, cybersecurity, and emerging trends. Students will gain practical skills in using productivity software, conducting online research, and understanding the ethical and responsible use of digital resources. The course emphasizes both technical proficiency and digital literacy, preparing learners to confidently navigate and contribute to a technology-driven world.

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Python is a powerful and versatile programming language with countless possibilities. You can use it for data analysis, image processing, automation, software development, hardware control, and much more. Do you want to create your own software? Work with data or images? Automate repetitive tasks? Control or manage your own hardware? Whether you are just starting to learn Python or already have a specific project and need some guidance, I would be happy to help you. My goal is to explain things clearly, adapt to your level, and help you understand not only how to make something work, but also why it works. Let's turn your ideas into working Python projects!

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Most kids think coding is for "smart kids" or "future programmers." It's not. Coding is how real people solve real problems. In this class, we skip the theory. Your child creates real things. What they'll do: ✓ Build real projects in Scratch: a working game, an interactive animation, a story they coded ✓ Program virtual robots: solve real-world challenges (navigate a maze, automate a task, build a system) ✓ Create in Minecraft Education: design worlds, automate constructions, solve logic problems ✓ Experiment with different languages: not just learn "the right way," but understand that there are many ways to think about a problem ✓ Collaborate and share: work with other kids, get feedback, improve their work ✓ Develop logical thinking: not just for coding, but for anything: solving math problems, science challenges, real-world situations Why this is different: We don't teach syntax. We teach how programmers think. Most children's coding courses say "here's the code, copy it." We teach "what problem are we trying to solve? How could we break it into steps? What options do we have?" When your child learns to think like a programmer, they can learn any language afterward. What they take home: A portfolio of 3–4 completed, working projects. The ability to say "I built this." And the deep understanding that code is a tool to make real things happen. Format: Online or Barcelona | 60–90 min sessions | Flexible pace, no prior experience needed For curious 8-12 year olds who want to build.

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Whether you're preparing for IB, IGCSE, GCSE, or simply want to build confidence in Mathematics, I'm here to help. I have over 3 years of teaching experience and 7 years of professional software engineering experience, allowing me to explain mathematical concepts in a clear, logical, and practical way. My lessons are tailored to each student's needs and learning pace. I believe understanding the "why" behind a concept is far more valuable than memorising formulas. During lessons, I use carefully prepared practice questions and exam-style exercises, many of which I create myself using professional typesetting tools like LaTeX that is used by IB and Cambridge directly. I encourage students to ask questions freely and develop strong problem-solving skills. Whether you're aiming to improve your grades, prepare for school exams, or study for international curricula such as IB, IGCSE, or GCSE, I'll help you build confidence step by step in a supportive learning environment. I use a Pen Display Tablet to write on it using Goodnotes as the writing app, which I share the link to the whiteboard used with the students. Lessons are available online or in-person (within 30 mins train travel from Shinjuku, Tokyo), and are conducted in English.

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It is important to me to teach my students while adopting an active teaching method. I put all my experience acquired as a head teacher and also that of my academic career to the service of their success. - Mathematics - Chemical Physics, - Technology. My courses are aimed at students in the French system from 6th to 12th grade (Speciality: Mathematics, PC).

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A- TOPICS YOU CAN EXPLORE AND MASTER: 1- PYTHON FOUNDATIONS • Variables, data types, operators, conditional structures, loops, functions, modules, files, exceptions, and object-oriented programming • Lists, tuples, dictionaries, sets, comprehensions, debugging, and writing clear, reusable, well-structured code • Jupyter Notebook, Anaconda, Visual Studio Code, virtual environments, and package management 2 — PROGRAMMING, ALGORITHMS, AND COMPUTER SCIENCE FOUNDATIONS • Algorithmic thinking, problem decomposition, pseudocode, flowcharts, procedural programming, object-oriented programming, recursion, and modular program design • Fundamental data structures including arrays, lists, stacks, queues, dictionaries/hash tables, sets, trees, graphs, and their appropriate use • Searching, sorting, traversal, algorithm efficiency, computational complexity, Big-O notation, debugging, testing, code organization, and problem-solving strategies • Practical programming exercises ranging from beginner problems to university-level algorithmic and computational challenges 3- DATA PREPARATION AND EXPLORATION • NumPy and pandas for importing, cleaning, transforming, filtering, grouping, reshaping, and merging data • Missing values, duplicates, outliers, inconsistent formats, data leakage, and data-quality validation • Exploratory data analysis using descriptive statistics, Matplotlib, Seaborn, and graphical interpretation 4- MATHEMATICAL FOUNDATIONS • Linear algebra, vectors, matrices, derivatives, optimization, probability, and statistics • Loss functions, gradients, distance measures, regularization, likelihood, and model complexity • Mathematical concepts are explained according to the learner’s level and the requirements of the selected algorithms 5- SUPERVISED MACHINE LEARNING • Linear and polynomial regression, logistic regression, and regularized models • k-nearest neighbours, decision trees, random forests, gradient boosting, support vector machines, and Naive Bayes classifiers • Classification, regression, model assumptions, decision boundaries, feature importance, and interpretation of results 6- UNSUPERVISED LEARNING • Clustering using k-means, hierarchical clustering, and density-based methods • Principal component analysis, dimensionality reduction, anomaly detection, and pattern or structure discovery • Method selection, evaluation of data structure, and interpretation of results without predefined labels 7- MODEL EVALUATION AND IMPROVEMENT • Training, validation, and test sets; cross-validation; hyperparameter optimization • Accuracy, precision, recall, specificity, F1 score, ROC–AUC, confusion matrices, MAE, MSE, RMSE, and R2 • Underfitting, overfitting, bias–variance trade-off, class imbalance, feature engineering, feature selection, scaling, and regularization 8- DEEP LEARNING • Neural-network foundations, activation functions, forward propagation, backpropagation, and gradient descent • Multilayer perceptrons, convolutional neural networks, recurrent neural networks, and Transformer foundations • TensorFlow, Keras, or PyTorch depending on the learner’s project and working environment 9- ARTIFICIAL INTELLIGENCE APPLICATIONS • Natural language processing, text classification, embeddings, sentiment analysis, and foundations of language models • Computer vision, image classification, fundamental principles of object detection, and image preprocessing • Recommendation systems, forecasting, anomaly detection, intelligent automation, and decision-support applications 10- GENERATIVE AI AND LARGE LANGUAGE MODELS • Transformer architecture, tokens, embeddings, attention mechanisms, prompt engineering, Retrieval-Augmented Generation (RAG), and model evaluation • Use of artificial-intelligence APIs, vector databases, document-retrieval systems, and structured AI-enabled workflows when relevant • Reliability, hallucinations, bias, privacy, responsible use, and appropriate human validation 11- TOOLS AND LIBRARIES • Python, NumPy, pandas, Matplotlib, Seaborn, scikit-learn, SciPy, Statsmodels, TensorFlow, Keras, and PyTorch • Jupyter Notebook, Anaconda, Visual Studio Code, Git, GitHub, SQL, Excel, and Power BI when useful to the project • Additional libraries may be introduced depending on the selected specialization and dataset 12- PROJECTS, RESEARCH, AND INTERVIEW PREPARATION • Complete projects covering data preparation, model development, evaluation, interpretation, and presentation of results • University assignments, dissertations, theses, research projects, portfolio projects, technical interviews, and professional applications • Code review, debugging, documentation, reproducibility, model comparison, and communication of results ------------------------------------------------------------------------------------------------------------------------------------------------------------------------------- B- PERSONALIZED TUTORING: LEARNING HOW TO REASON Machine learning and artificial intelligence become much more accessible when mathematics, algorithms, Python code, data, and real-world applications are clearly connected. My lessons help you move beyond simply copying code or using models as “black boxes.” You will learn how to define the problem correctly, prepare the data, select an appropriate algorithm, understand how it works, train and evaluate the model, diagnose errors, improve performance, and interpret results rigorously and responsibly. Each lesson is personalized according to your current level, mathematical background, programming experience, dataset, university work, research project, interview preparation, or professional objective. We begin by identifying your existing knowledge, software environment, expected outcomes, and main conceptual or technical difficulties. We then establish a structured learning plan. The first lesson combines a discussion of your background, objectives, and tutoring needs; an initial assessment of your current knowledge; personalized planning and organization of future sessions; and a short trial lesson to determine the most effective learning approach. A typical session may include conceptual explanation, development of mathematical intuition, live coding, guided implementation, model evaluation, technical problem solving, and a concise summary of the next steps. You may work with your own dataset, university assignment, research project, or professional problem, provided that confidential information is handled appropriately. I can also provide structured examples and datasets suited to your level. My goal is not simply to help you run an algorithm. It is to help you understand why it is appropriate, how it learns from data, how to evaluate it correctly, why it may fail, and how to build a reliable, interpretable, and scientifically rigorous solution.

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Engineer in engineering sciences option electrical engineering Senior professor of engineering sciences SKILLS IS engineering sciences Embedded system (microcontrollers, z80 microprocessors, Motorola, ARM), Real-time system, network concept (OSI, TCP/IP), design of systems and electronic cards (analog, digital, power supply), signal processing, communication protocols ( SPI, I2C, CAN BUS, UART...), telecommunications. Technical skills : Languages: C / C ++, JAVA, VHDL / VERILOG, Python, Assembler. Professional software: MATLAB, SIS + PSIM + PSpice, QUARTUS, IDE68, Mikro C, Xilinix ISE, Labview, CoIDE. Technologies: Siemens PLC, Allen bradeley, STM32, FPGA, TIA Portal, STEP7, RSLogix  Electrical engineering: Electric motors, Transformers  Renewable energies: study of the solar pumping installation and the wind turbine installation.  Electronics: analog, digital, power electronics, system electronics and instrumentation biomedical.  Networks and telecommunications.  Industrial IT and programmable logic controllers.  Automatic: modeling, identification and control of systems.  Mechatronics.  MATLAB • Noise and vibration of asynchronous motors • Speed variator • Study and implementation of LV / MV standards • Electrical accreditation: NF C18-510 standard • NF C 15-100 electrical installations • Management of electrical energy in networks (Continuous Power Flow)

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Learn to code with method and logic Whether it's to succeed in the NSI (Digital Sciences and Technology) specialization in high school, design personal projects, or prepare for higher scientific studies, mastering code relies on solid algorithmic thinking. I help students understand the structure of programming languages and the logic of data. Subject areas and languages taught: Algorithms & Logic: Designing data structures and solving problems. Programming Languages: Python, C/C++, C# and Java. Data Management: Analysis and SQL queries / databases. Basic Web Development: HTML & CSS for creating structured pages. The goal is to take the student from simply writing code to true autonomy in development.

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Unlock Your Microsoft Office Potential! Private online classes available in Microsoft Word, Excel, and PowerPoint. Struggling with Microsoft Office? Get personalized help with private online classes in Word, Excel, and PowerPoint. Boost your productivity, create professional documents, analyze data effectively, and design engaging presentations. Learn from the comfort of your home! Inquire today.

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Associate professor in engineering sciences, 5 years of professional experience at all levels, college, high school, university, preparatory classes, engineering schools. Gives courses from college to university, preparation for exams, revisions, oral preparation, development of study methodologies. Webcam lessons