Master AI, Machine Learning & Python Programming | Algorithms, Automation & Real Applications

From 27 Fr /h

Artificial Intelligence and programming become much easier when you understand the reasoning behind the algorithms—not simply memorize Python syntax or use AI tools as a black box.

I am a PhD-qualified engineer, university professor, researcher, programmer, and multidisciplinary tutor with more than 30 years of experience across teaching, technical training, engineering, information systems, quantitative analysis, research, data mining, programming, and intelligent knowledge-based systems.

This class provides a structured and personalized pathway for beginners, school and university students, researchers, engineers, professionals, career changers, and adult learners. Depending on your goals, we can focus on Python programming, computational problem solving, automation, machine learning, artificial intelligence, or a coherent progression connecting them.

PYTHON PROGRAMMING & COMPUTATIONAL THINKING
• Python installation and development environments
• Variables, data types, operators, and expressions
• Input, output, and program flow
• Conditional statements and decision making
• For loops and while loops
• Functions, parameters, return values, and scope
• Strings and text processing
• Lists, tuples, sets, and dictionaries
• File handling and data input/output
• Error handling and exceptions
• Modules, packages, and reusable code
• Object-oriented programming
• Algorithms and computational problem solving
• Debugging and systematic error correction
• Code organization, readability, and good programming practices

SCIENTIFIC COMPUTING, DATA & AUTOMATION
• NumPy for numerical computing
• pandas for structured data manipulation
• matplotlib for visualization
• Scientific and engineering calculations
• Automation of repetitive tasks
• Data processing workflows
• Working with files and external data
• Introduction to APIs when relevant
• Python and SQL workflows
• Research and quantitative applications
• Project development from idea to working solution

MACHINE LEARNING
• Foundations of machine learning
• Supervised and unsupervised learning
• Regression and classification
• Clustering and pattern discovery
• Decision trees and rule-based approaches
• Feature selection and data preparation
• Training, validation, and testing
• Model evaluation and performance metrics
• Overfitting and underfitting
• Bias, variance, and generalization
• Model comparison and interpretation
• Predictive modelling and data mining
• Neural-network foundations

ARTIFICIAL INTELLIGENCE & INTELLIGENT SYSTEMS
• Foundations and major branches of Artificial Intelligence
• How intelligent systems represent, classify, predict, and support decisions
• Knowledge representation concepts
• Ontologies and structured knowledge
• Rule-based reasoning and expert-system foundations
• Intelligent decision-support systems
• Generative AI and large language model concepts
• Prompt design and effective AI-assisted workflows
• AI limitations and hallucinations
• Bias, privacy, ethics, and responsible AI
• Applications in engineering, research, business, education, and professional decision making

Depending on your goals, practical work may involve Python, NumPy, pandas, matplotlib, relevant machine-learning libraries, Weka, SPSS Modeler, structured datasets, or modern generative-AI tools.

My teaching approach follows a clear progression:
understand the problem → design the logic → represent and prepare the data → write or select the method → test it → evaluate the output → debug or improve it → interpret the result → apply it responsibly

I do not simply provide finished code, demonstrate isolated commands, or recommend an AI model because it is popular. I help you understand why a method works, what assumptions it makes, when it should be used, how to evaluate its results, where it may fail, and how to improve the solution.

We can work with your course syllabus, programming exercises, existing code, error messages, dataset, research problem, AI project, automation task, engineering application, model output, or professional use case.

Whether you are writing your first Python program, preparing for a university course, debugging a project, automating a professional task, learning machine learning, or exploring advanced AI applications, I will adapt the sessions to your level, objectives, and pace.

My goal is to help you become an independent computational problem solver who can understand, build, evaluate, and apply intelligent solutions—not merely copy code or use AI tools without understanding them.

Extra information

Please send, when possible, a brief description of your goals together with any relevant course outline, exercise, code file, error message, project requirements, dataset, model output, research question, automation task, or AI use case before the lesson. For practical sessions, please have the required software and development environment installed when possible. Existing code is welcome, but confidential information and sensitive data should be removed or anonymized before sharing.

Location

Use Ctrl + wheel to zoom!

At student's location :

Around Laval, 10, Canada

Online from Canada

About Me

I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, training, mentoring, research, engineering, and technology.

I enjoy helping students move from confusion to genuine understanding. My approach is structured, patient, personalized, and concept-driven: I first identify your goals and the real source of difficulty, then explain the underlying ideas clearly using visual, numerical, and real-world examples before moving to guided practice and independent problem solving.

I work with teenagers, university students, graduate researchers, engineers, professionals, and adult learners. My areas include statistics, probability, research methods, quantitative analysis, data science, mathematics, physics, chemistry, programming, engineering, CAD/BIM/3D modelling, GIS, and project management.

I do not simply provide formulas, software commands, or final answers. My goal is to help you understand why a method works, when to use it, how to verify the result, and how to apply the same reasoning confidently to new problems.

Whether you are strengthening your foundations, preparing for an exam, analyzing data, conducting research, learning technical software, or solving an advanced engineering problem, I adapt each lesson to your level, objectives, and pace. I value serious learning, curiosity, open communication, and a respectful environment where questions are always welcome.

Education

PhD in Management Information Systems (Knowledge Management) — Jinan University, 2008. Rank: Excellent. Doctoral research focused on knowledge representation, organizational memory, ontology development, reasoning, and educational knowledge management.

Master of Business Administration (MBA), Management Information Systems / Business Intelligence — Jinan University, 2004. Rank: Very Good. Graduate research focused on data mining for business applications, including clustering, decision trees, and neural networks.

Bachelor of Applied Science in Mechanical Engineering, Engineering Management Option — University of Ottawa, Canada, 1990. Graduated Magna Cum Laude.

My multidisciplinary education connects engineering and scientific problem solving with quantitative analysis, research, data, information systems, technology, and management.

Experience / Qualifications

More than 30 years of university teaching, professional training, mentoring, research, engineering, and consulting experience. Former Associate Professor, Dean of a Faculty of Business Administration, Vice President for Scientific Research and Higher Studies, and Vice President for Development and Technology.

Extensive undergraduate and graduate teaching experience in statistics, advanced quantitative methods, research methodology, data mining, business intelligence, mathematics, operations research, project management, construction management, database systems, management information systems, and related analytical disciplines.

Strong practical experience in statistical and data-analysis tools including SPSS, Stata, SAS, Excel, Python, and related analytical workflows; programming and information technologies; and engineering/design tools including AutoCAD, Revit, BIM workflows, 3D modelling, Primavera, MS Project, ArcGIS, and other technical software.

Professional engineering experience includes engineering analysis and design, project planning and control, CAD-based technical work, GIS and spatial analysis, infrastructure-related studies, engineering software development, and multidisciplinary project consulting.

Experienced in supporting university students, graduate researchers, engineers, professionals, and adult learners with theoretical understanding, problem solving, research design, quantitative analysis, interpretation of results, software workflows, technical projects, and independent skill development.

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

English

French

Arabic

Skills

Python

Computer science

Computer programming

Availability of a typical week

(GMT -04:00)

New York

Online via webcam

At student's home

Mon

Tue

Wed

Thu

Fri

Sat

Sun

00-04

04-08

08-12

12-16

16-20

20-24

Master Research, Thesis & Professional Projects | Methodology, Project Management, Career & Interviews

27 Fr /h

Complex academic and professional goals become manageable when the objective is clear, the methodology is sound, the work is properly planned, and decisions are based on structured reasoning rather than improvisation.

I am a PhD-qualified engineer, university professor, published researcher, former senior academic leader, project practitioner, and multidisciplinary mentor with more than 30 years of experience across teaching, research, supervision, engineering, project planning, management, professional development, and decision support.

This class provides personalized guidance for university students, graduate researchers, engineers, professionals, managers, career changers, and adult learners. Depending on your objective, we can focus on one of three clearly defined pathways or connect them when your situation genuinely requires an integrated approach.

RESEARCH METHODS, THESIS & DISSERTATION
• Defining and narrowing a research problem
• Developing research questions and objectives
• Formulating hypotheses
• Building conceptual and theoretical frameworks
• Literature-review strategy and source evaluation
• Connecting theories, constructs, variables, and measurement
• Quantitative research design
• Qualitative research design
• Mixed-methods research
• Experimental, observational, survey, and case-study approaches
• Population and sampling decisions
• Sample-size considerations
• Questionnaire and survey design
• Reliability and validity
• Operationalization of variables
• Coding plans and data preparation
• Research ethics and responsible data handling
• Selecting appropriate analytical methods
• Developing a coherent data-analysis plan
• Interpreting quantitative and qualitative findings
• Structuring methodology and results chapters
• Connecting findings to research questions and hypotheses
• Discussion, limitations, implications, and recommendations
• Responding systematically to supervisor feedback
• Preparing to explain and defend methodological decisions

PROJECT MANAGEMENT & PROFESSIONAL EXECUTION
• Project objectives and success criteria
• Scope definition and requirements
• Work Breakdown Structure (WBS)
• Activity definition and sequencing
• Network diagrams
• Critical Path Method (CPM)
• PERT and schedule uncertainty
• Milestones and deliverables
• Resource planning and allocation
• Cost estimation and budgeting concepts
• Project scheduling and control
• Risk identification, analysis, and response planning
• Stakeholder analysis
• Communication planning
• Quality and performance monitoring
• Change management
• Traditional, Agile, and hybrid approaches
• Construction and engineering project contexts
• Microsoft Project workflows
• Primavera planning and scheduling
• Diagnosing delayed or underperforming projects
• Turning complex objectives into executable action plans

CAREER STRATEGY & INTERVIEW PREPARATION
• Clarifying career direction and professional objectives
• Identifying transferable skills
• Skills-gap analysis
• Career-transition planning
• Professional positioning and value proposition
• CV and résumé strategy
• Matching experience to job requirements
• Preparing for behavioral interviews
• Preparing for technical and analytical interviews
• Structuring evidence-based answers
• STAR and other response frameworks
• Developing strong professional examples and stories
• Mock-interview practice
• Diagnosing weak or unclear answers
• Communicating complex experience concisely
• Preparing for questions about strengths, weaknesses, conflict, leadership, failure, and problem solving
• Interview preparation for academic, technical, engineering, analytical, and management roles
• Building a realistic professional-development plan

My approach follows a common structured logic:
define the objective → diagnose the current situation → identify constraints → select the appropriate methodology → build the plan → execute → monitor → evaluate → communicate the result → improve

We can work with your research proposal, thesis plan, supervisor feedback, conceptual framework, questionnaire, methodology chapter, project schedule, WBS, risk register, MS Project or Primavera file, CV, job description, interview questions, or professional-development challenge.

I do not simply provide generic templates or ready-made answers. I help you understand why a method or strategy fits your situation, what assumptions it depends on, how to evaluate alternatives, how to detect weaknesses, and how to defend the final decision clearly.

Academic and professional integrity are essential. I provide teaching, methodological guidance, critical feedback, analytical support, planning, coaching, and supervision-style mentoring. I do not write assessed theses or dissertations, complete examinations, fabricate research results, or misrepresent a student’s or professional’s experience.

My goal is to help you become the genuine owner of your research, project, or professional path—able to explain your decisions, manage complexity, communicate clearly, and move forward independently.

Master Mathematics, Statistics & Data Analysis | Calculus, Probability, Econometrics & Visualization

27 Fr /h

Mathematics, statistics, and data analysis become much easier when formulas, reasoning, computation, and real-world interpretation are connected clearly.

I am a PhD-qualified engineer, university professor, researcher, and multidisciplinary tutor with more than 30 years of experience in teaching, quantitative methods, mathematical problem solving, statistical analysis, research, engineering, data analysis, and professional decision support.

This class provides a structured and personalized learning pathway for school and university students, graduate researchers, engineers, professionals, and adult learners. Depending on your goals, we can focus on one specific area or connect several areas into a coherent program.

MATHEMATICS
• Arithmetic, fractions, ratios, percentages, and mathematical foundations
• Algebraic expressions, equations, inequalities, and systems
• Functions, graphs, and transformations
• Geometry and analytic geometry
• Trigonometry
• Precalculus
• Limits and continuity
• Differential calculus and applications
• Integral calculus and applications
• Sequences and series
• Multivariable calculus
• Linear algebra, matrices, vectors, and systems
• Differential equations
• Numerical methods
• Applied and engineering mathematics

STATISTICS, PROBABILITY & ECONOMETRICS
• Descriptive statistics
• Probability rules and probabilistic reasoning
• Random variables and probability distributions
• Sampling and sampling distributions
• Confidence intervals
• Hypothesis testing
• Correlation and regression
• Multiple regression
• ANOVA, ANCOVA, and MANOVA
• Nonparametric methods
• Multivariate statistical analysis
• Econometrics and quantitative methods
• Time-series analysis and forecasting
• Mediation and moderation analysis
• Statistical modelling and predictive analysis

DATA ANALYSIS & VISUALIZATION
• Data organization and quality assessment
• Data cleaning and preparation
• Missing values, duplicates, inconsistencies, and outliers
• Exploratory data analysis
• Summary tables and analytical reporting
• PivotTables and aggregation
• Data visualization and appropriate chart selection
• Trend and pattern analysis
• KPI development and performance analysis
• Dashboard concepts and decision-support reporting
• Research and survey data preparation
• Interpretation and communication of analytical findings

Depending on your needs, practical work may involve Excel, SPSS, Stata, R, SAS, Power BI, SQL, Python, or other relevant analytical tools. Software is never treated as a substitute for understanding: I explain the reasoning behind the method, the assumptions involved, the meaning of the output, and how to verify whether the conclusion is sound.

My teaching approach follows a clear progression:
understand the problem → identify the appropriate concept or method → develop the reasoning → calculate or analyze → verify the result → interpret it → communicate the conclusion

We can work with your course syllabus, textbook, representative exercises, exam topics, dataset, statistical output, research question, spreadsheet, dashboard, engineering application, or professional analytical problem.

Whether you are rebuilding mathematical foundations, preparing for an examination, studying advanced calculus, learning statistics, conducting econometric analysis, interpreting research data, or developing practical analytical skills, I will adapt the sessions to your level, objectives, and pace.

My goal is not merely to help you obtain an answer, but to help you understand the reasoning, choose appropriate methods, verify results, interpret findings correctly, and solve new problems independently.

Florian

4.67

(3)

Developer since 10 years, I work on the development of new 3D engine for different industries. My experience ranges from raytracer to standard OpenGL rendering. The languages covered will be C / C ++, OpenGL and OpenCL.

This course is for anyone wanting an introduction to this type of programming or wanting to learn and discuss developments and new methods in this area. The focus is mainly on the use of graphic resources and understanding how to use the material.

For beginners in programming, the course will focus on learning the technical terms, methodologies and concepts namely to program effectively in general.

Ahmed

4.67

(3)

Mathematics, Physics, and Computer Science Tutor | Montreal | French & English
Private tutoring in mathematics, physics and chemistry, life and earth sciences, and computer science for high school, CEGEP, and university students in M

French curriculum: middle school, high school, preparation for the Baccalaureate (Mathematics, Physics-Chemistry, Life and Earth Sciences) — Stanislas, Marie de France
Quebec Program (Secondary & CEGEP), (NYA, NYB, NYC), university

Mathematics: Secondary 1 to 5 (including SN and CST components).
Science: Secondary 5 Physics and Chemistry.
CEGEP: Integral and Differential Calculus (NYA, NYB), Linear Algebra (NYC), and Physics.

English-language program: secondary school, CEGEP, university level
Computer science: Java, C++, Linux, algorithms
formations

Baccalaureate with a specialization in Mathematics
B.Sc. Computer Science, Finance and Mathematics — McGill
M.Sc. Applied Computer Science — Concordia

I have been giving private lessons in mathematics, physics-chemistry and computer science for over 10 years in Montreal. I support high school, CEGEP and university students, in Quebec, French and English programs.
In mathematics and physics, I teach from secondary school to university level, including CEGEP courses at NYA, NYB, and NYC. For students at French schools in Montreal such as Stanislas or Marie de France, I cover the French curriculum from middle school through the Baccalaureate with a specialization in Mathematics, including mathematics, physics and chemistry, and life and earth sciences.
In computer science, I teach programming courses in Java, C++ and Linux, as well as algorithm courses for college and university levels.
My method is based on understanding before memorization. Each session is adapted to the student's level and objectives, whether it is to fill gaps in knowledge, prepare for an exam or deepen understanding of a concept.
My background is rooted in both systems: I graduated with a French Baccalaureate specializing in Mathematics, hold a B.Sc. in Computer Science-Finance-Mathematics from McGill University, and an M.Sc. in Applied Computer Science from Concordia University. I have over 10 years of experience tutoring students of all levels in mathematics, physics, and computer science in Montreal.

4.67

(3)

Engineer and senior professor of engineering sciences provides support courses in analog and digital electronics at all levels, engineering schools. having a scientific and technical knowledge, five years of experience in the field of teaching, teaching and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they have difficulties. for more info please contact me

Adam

4.67

(3)

Learning to program is not just about writing code. It's about learning to analyze a problem, construct a line of reasoning, and develop effective solutions.

For over 35 years, I have been supporting university students, engineering school students and adults retraining in learning computer science and programming.

Whether you are a beginner or preparing for an exam, a university project or a technical interview, I adapt to your level and your objectives.

Subjects taught
Python
Java
SQL and databases
Algorithmic
Data structures
Object-oriented programming (OOP)
Program design and debugging
What we work on together
Understanding fundamental concepts rather than memorizing code.
Develop a problem-solving method.
Correct and improve your programs.
Prepare for practical work, projects and exams.
Acquire good programming practices used in higher education and in business.
A pedagogy based on practice

Each session alternates between explanations, demonstrations, and exercises. We write, test, and debug the code together so that you understand not only how to program, but more importantly, why a solution works.

When it's helpful, I also show you how to use programming assistance tools thoughtfully, including AI-powered assistants. The goal isn't to let AI program for you, but to teach you how to verify, understand, and improve the solutions it provides.

Session Procedure

60-minute session

Ideal for solving a specific problem, understanding a difficult concept, or correcting a program.

90-minute session

Recommended for a university project, a complete refresher course or exam preparation.

My commitment

My goal is for you to gradually become independent. At the end of each session, you should be able to understand your code, explain your choices, and continue your work with greater confidence.

I will be happy to support you in your progress, whatever your starting level.

Amin

4.67

(3)

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.

Mohamed

4.67

(3)

The aim of this course is to learn programming in general and to discover the different programming applications such as machine learning, deep learning or even video game programming via Unity.
There is also the possibility of doing lessons at a more advanced level according to the student's need and to concentrate on one point or another.

Arnaud

4.67

(3)

I offer math or computer courses up to the Bachelor's, combining rigor and enthusiasm.

I am doing a master's degree in mathematics at the University of Paris-Saclay (#1 in the world in mathematics). Being the eldest of a family of three children, I have a sense of pedagogy

Lucas

4.67

(3)

I give science lessons for all levels. I have already given courses in an agency (Completeness) from the 6th to post-baccalaureate.
I am currently a master's student in information technology at ETS and McGill.

I think I am close to young people and I have a good pedagogy. I also regularly help my brother and my sister who are respectively in 4th and 1st.
As part of my lessons, I ask the student in advance what concept he needs to work on.
Then, I start the lesson by asking the student what he learned from his lesson, what he understood, what he didn't understand.
Then, we resume the course together and then we move on to the exercises. At first we redo the exercises already done, then I invent similar exercises.

I can teach at home or in my apartment.

Esteban

4.67

(3)

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

Ludovic

4.67

(3)

Dive into the exciting world of generative AI! This hands-on course will allow you to create your own applications using language models and explore the endless possibilities this technology offers. Using Google Cloud and Python, you will learn to:

Use language models, with a focus on Google Gemini during lessons
Generate creative text, translate languages and answer complex questions
Deploy your applications
Understand the ethical issues linked to generative AI

Aniket

4.67

(3)

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

Etienne

4.67

(3)

Hello,
My name is Etienne and I am a final year student in a dual engineering school degree. I have already been a private tutor for 3 years, and I love passing on my knowledge! I am bilingual in English (985/990 on the TOEIC), and have a Master's level in Mathematics. I can also give science or computer science lessons. We can plan a face-to-face, distance or hybrid course.
I hope to see you again soon!

Nathanaël

4.67

(3)

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!

Xavier

4.67

(3)

Personalized support for students in their academic difficulties
Design and delivery of courses adapted to the needs of learners
Monitoring and evaluating progress to ensure continuous improvement
Encouragement of an interactive and motivating educational approach

Mathilde

4.67

(3)

For:
- Better understand your science courses (math, physics, chemistry, biology, computer science)
- Find effective working methods that suit you
- Regain confidence in your abilities
- Discover that science can become exciting

I offer personalized courses adapted to each profile which go beyond simple academic support:

✅ Learning to learn (organization, memorization, reasoning)
✅ Develop solid and sustainable methods
✅ Work at your own pace, with kindness

An engineer in medical imaging, neuroscience, and artificial intelligence, my rigorous scientific background and my passion for sharing my knowledge drive me to support students in their success. My goal is to give students a taste for science and the keys to becoming independent and confident. I adapt to the pace and needs of each individual, combining rigor and kindness to restore self-confidence and rediscover the joy of learning, essential for progress.