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Hello, I'm doing a PhD in AI and ML using Python and am an Oracle-certified trainer with 350+ reviews and ratings [with proof attached], I will be able to teach you Python better than any of my competition. Why choose me? 1. 300 + reviews and ratings 2. Certified tutor 3. More than 5 years of teaching experience 4. Worked as a Software engineer in companies like Virtusa Corp and DIGIDEZ DIGITAL SYSTEMS 5. Hold B.tech and M.tech in Computer Science Featured Review : Been trying to learn Java on my own for about 1 year and I couldn't get a grasp on it. Aniket make learning Java a fun experience and challenges you to think for yourself to reinforce the concepts you've learned. I am truly excited for our meetings and he makes time go by so fast that I'm upset when they end. Great teacher and he is genuinely passionate about your success. If I could give him more stars I would!!! Thanks Aniket

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1Students

Advanced mathematics and statistics often present one of the main challenges encountered at university. Many students understand the lectures but find themselves stuck as soon as they have to solve exercises or prepare for exams on their own. For over 35 years, I have been supporting undergraduate students, BUT, PASS, business school students, as well as adults undergoing professional retraining, to help them acquire an effective work method and succeed in their exams. Subjects taught Analysis Linear algebra Matrices and linear systems Functions and optimization Descriptive statistics Probabilities Hypothesis testing Estimate Introduction to Python or SQL when the program requires it A clear and progressive method Each session is tailored to your course of study and your objectives. We work from your lectures, tutorials, exercises or past papers to precisely target the concepts that are causing problems. The goal is not just to succeed at one exercise, but to understand the method that will allow you to solve others independently. Session Procedure The courses take place entirely online with screen sharing and an interactive digital whiteboard. We alternate explanations, demonstrations and exercises with live corrections in order to immediately check understanding and progress effectively. Available formats 60-minute session Ideal for preparing for a tutorial, understanding a difficult concept or getting stuck on an exercise. 90-minute session Recommended for refresher courses, exam preparation, or in-depth study of a chapter. My commitment My goal is to help you understand mathematics in a lasting way rather than simply memorizing calculation methods. You will progress not only in your current exam, but also in the courses that will follow in your curriculum. Whether you are preparing for a midterm, a competitive exam, a semester validation or a return to studies, I will be happy to support you in your success.

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Having graduated with a master's degree in industrial engineering, with a major in computer science at Polytechnique Montréal, I would like to give math and/or computer science courses to students in a university program, at CEGEP or at secondary school. During my studies at Polytechnique Montréal, I gave classroom lessons, practical work (around 50 people), as well as mathematics reinforcement for all types of profiles (individual help). I also have previous private tutoring experience. It is always a real pleasure for me to witness the success of the students and to see their progress session after session. I insist on stimulating students' thinking so that they are as effective as possible during their exams. It would be a pleasure to have a first meeting!

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Double-degree student at ÉTS Montreal/INSA Rennes (France) in aerospace/computer-electronics, I studied for 4 years in France subjects such as maths, physics, as well as computer science and electronics. I am willing to give lessons at all levels, preferably by videoconference. In France, I gave maths/physics lessons at all levels. I can also speak in English

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Want to learn Revit and AutoCAD for engineering and BIM projects? This course is designed for beginners, university students, and aspiring engineers who want to develop practical skills in electrical design, BIM workflows, and technical drafting. No previous experience is required. Students can also receive help with: - university assignments - BIM and Revit projects - technical drawings - portfolio development - internship preparation Lessons are adapted to the student’s level and learning goals.

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Python is the most in-demand programming language in the world right now — and one of the easiest to learn with the right guidance. Whether you've never written a line of code or you're a student who needs to pass a programming course, this is a practical, no-fluff introduction that gets you writing real code from session one. What we can cover depending on your goals: Python fundamentals: variables, loops, functions, data structures - Object-oriented programming (OOP) - Data manipulation with pandas and NumPy - Introduction to machine learning with scikit-learn - Database management with SQL - C and Java upon request - MATLAB and R available for engineering/science students Why learn with me? I'm not a student teaching on the side — I'm a professional engineer who uses Python daily for data analysis, modeling, and automation. I know exactly which concepts matter in the real world and which ones you can skip for now. Sessions are 100% personalized: I adapt the pace, the examples, and the exercises to your background and your goal — whether that's passing your university exam, building a project, or landing a job.

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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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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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This course is designed for students and professionals who want to learn how to analyze data using the R programming language. You will start with the basics of R, including variables, data types, and simple functions, and then move on to real-world data analysis skills such as data cleaning, visualization, and basic statistics. By the end of the course, you will be able to work with datasets, create clear and professional graphs, and perform meaningful data analysis for projects, studies, or work.