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Private lessonsComputer ProgrammingComputer Programming in Salé

11 computer programming teachers in Salé

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11 computer programming teachers in Salé

Mourad - CanadaC$37
C$37Machine Learning with Python and PyTorch: Practical Hands-on Training
Trusted teacher: Welcome to "Machine Learning with Python and PyTorch: Practical Hands-on Training," a beginner-friendly course designed to introduce you to the exciting world of machine learning using two of the most popular tools in the industry: Python and PyTorch. This course focuses on practical, hands-on learning, ensuring you gain the skills needed to start building your own machine learning models. #### Course Objectives: - **Introduction to Machine Learning:** Understand the basic concepts and principles of machine learning. - **Python Programming for Machine Learning:** Learn Python programming essentials tailored for machine learning applications. - **PyTorch Fundamentals:** Get acquainted with PyTorch, a powerful and flexible deep learning framework. - **Practical Experience:** Gain hands-on experience by working on real-world projects and exercises. - **Model Building and Evaluation:** Learn to build, train, and evaluate various machine learning models. #### Course Outline: 1. **Introduction to Machine Learning:** - What is machine learning? - Types of machine learning: supervised, unsupervised, and reinforcement learning - Applications of machine learning in different industries 2. **Python Programming Essentials:** - Introduction to Python programming - Data structures and libraries (NumPy, Pandas) - Basic data manipulation and visualization (Matplotlib, Seaborn) 3. **Getting Started with PyTorch:** - Introduction to PyTorch and its ecosystem - Setting up your environment and installation - Understanding tensors and basic tensor operations 4. **Building Your First Machine Learning Model:** - Data preprocessing and preparation - Splitting data into training and testing sets - Building a simple linear regression model with PyTorch 5. **Training and Evaluating Models:** - Understanding the training process - Loss functions and optimization algorithms - Evaluating model performance using metrics 6. **Advanced Models and Techniques:** - Introduction to neural networks - Building and training a neural network with PyTorch - Exploring convolutional neural networks (CNNs) for image classification 7. **Practical Projects and Applications:** - Hands-on projects to reinforce learning - Real-world applications and case studies - Tips and best practices for successful machine learning projects 8. **Next Steps in Your Machine Learning Journey:** - Exploring further learning resources - Joining machine learning communities and forums - Preparing for advanced topics and courses #### Who Should Enroll: - Beginners with no prior experience in machine learning - Individuals interested in learning Python programming - Aspiring data scientists and machine learning enthusiasts #### Prerequisites: - Basic computer literacy and familiarity with high school-level mathematics - No prior programming or machine learning experience required #### Course Outcomes: By the end of this course, you will be able to: - Understand the fundamental concepts of machine learning - Write and execute Python code for machine learning tasks - Use PyTorch to build, train, and evaluate machine learning models - Apply your knowledge to real-world problems and projects - Take the next steps in advancing your machine learning skills Join us in "Machine Learning with Python and PyTorch: Practical Hands-on Training" to embark on your journey into the fascinating world of machine learning. Gain the skills and confidence needed to build and deploy your own models, and start making an impact with machine learning today.
Python · Computer programming
(3 reviews)
Melih - Charleroi, BelgiumC$55
C$55Computer courses (databases, programming, artificial intelligence and cybersecurity)
Trusted teacher: I am a computer science student at the Polytechnic Faculty of Mons. Alongside my studies, I have enriching experience as a private teacher, providing courses in various fields such as databases, programming, artificial intelligence and cybersecurity. Here is a concise summary of some significant projects I have completed: Secure connected sensor system - Collaborative development with Polish students to create a secure and connected sensor network. Full Stack Development for EasyTrip - Website design for a fictional company specializing in travel planning. Optimization of vehicle routes for IT - OPTICS - Participation as a developer in a team of 17 students, working on route optimization for a real client. Creating AI for Financial Transactions – Development of artificial intelligence capable of executing financial transactions based on stock market fluctuations. Business project for PARASOLAR SA - Participation in the Business section for a connected parasol project and carrying out a financial analysis. Civil Engineering Entrance Exam Training - Providing training to help students pass the Civil Engineering Entrance Exam. Middle school tutoring - Supervision during remediation sessions for high school students. These varied and enriching experiences demonstrate my commitment, my versatility and my passion for IT as well as for teaching.
Computer programming
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(11 reviews)
Pr YSF - Paris, FranceC$38
C$38Electronics, Control of industrial systems, C/C++ VHDL programming, digital and analog electronics, MATLAB simulation
Trusted teacher: Hello, I am a doctoral student in electrical engineering and associate professor in engineering sciences, experienced in the field of electrical engineering, I offer support courses in the subjects of engineering sciences (Electronics, automatics, electrical engineering, automation, programming). Digital electronics Analog electronic electromagnetism (propagation of high frequency waves) Automatic (continuous, sampled) electrical engineering (transformers, electrical machines, switching power supply) C / c ++ programming, Assembler, ARM, STM32 renewable energy (wind, PV) engineering Sciences RDM Python,VHDL PIC Microprocessor and Microcontroller Signal processing and data acquisition Engineering Sciences These courses allow the student to get up to speed and regain confidence in all scientific subjects, just as they prepare him effectively for the Baccalaureate, the Preparatory Classes or various examinations of the engineering classes. COURSE OBJECTIVES AND PEDAGOGICAL APPROACH Resumption and deepening of fundamental concepts through exercises with course reminders. Put the student in a situation of questioning and research. Respond to individual issues and questions Exercise training in order to achieve real mastery of the content. Learn to build theoretical reasoning from observable facts or hypotheses. Specific preparation for higher education requirements (in-depth content, increase in work capacity, enrichment of scientific background) This educational approach is effective since it has often led me to interesting results with my students. Associate professor provides support courses in electrical engineering
Computer programming · Electronic circuits · Electrical engineering
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Our students from Salé evaluate their Computer Programming teacher.

To ensure the quality of our Computer Programming teachers, we ask our students from Salé to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 27 reviews.

Python, learn how to think and build effective code (Utrecht)
Kelly
Kelly is a lovely person and great teacher. I had a number of classes with her online via Zoom in order to get help with a beginners level Python data analysis course I was doing. I would not have gotten through the course without her patience and help in explaining different concepts. I highly recommend her as a tutor if you are struggling with coding!
Review by ELLA
Python Basics and Machine Learning Fundamentals and AI
Natalia
natalia was a great tutor! i really enjoyed her lessons and the prep she did for each session, would highly recommend
Review by TAMI
Maths for students for any level from grade 6 to 11 and London and Cambridge Syllabuses and GCSE ALs (Matara)
Shalitha
The method of learning is brilliant breaking down formulas GCSE A-level students recommended
Review by YASMIN

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