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6 python teachers in Anderlecht

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6 python teachers in Anderlecht

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
Trusted teacher: Are you ready to take your Python skills to the next level and unlock the power of Object-Oriented Programming (OOP)? Welcome to our comprehensive course designed to transform you into a Python OOP expert! Object-Oriented Programming is a fundamental paradigm in modern software development, and Python's versatility makes it an ideal language for mastering OOP concepts. In this dynamic course, we'll guide you through every aspect of OOP in Python, from the basics to advanced techniques, empowering you to build robust, scalable, and maintainable software solutions. What will you learn? Foundations of OOP : Understand the core principles of OOP, including encapsulation, inheritance, and polymorphism, and how they are implemented in Python. Class Creation and Management: Dive deep into creating classes, defining attributes, and designing methods to encapsulate functionality within your Python applications. Inheritance and Polymorphism: Explore the power of inheritance to create hierarchical relationships between classes and leverage polymorphism to write more flexible and reusable code. Advanced OOP Techniques: Learn about abstract classes, interfaces, and composition to design elegant and modular software architectures. Design Patterns: Discover common design patterns and how to implement them in Python to solve complex software design problems effectively. Testing and Debugging: Master techniques for testing and debugging object-oriented Python code to ensure its correctness and robustness. Real-World Applications: Apply your newfound knowledge to real-world projects, including building GUI applications, web development, and more. Why choose this course? Comprehensive Curriculum: Our course covers everything you need to know about OOP in Python, from the basics to advanced topics, ensuring you have a solid understanding of the subject. Hands-On Learning: Gain practical experience through hands-on coding exercises and projects that reinforce your understanding of OOP concepts. Expert Guidance: Learn from experienced Python developers who will provide clear explanations, practical examples, and personalized feedback to help you succeed. Career Advancement: Mastering OOP with Python opens doors to a wide range of career opportunities in software development, data science, machine learning, and more. Lifetime Access: Enjoy lifetime access to course materials, including updates and new content, ensuring you stay current with the latest advancements in Python and OOP. Whether you're a Python novice looking to expand your programming skills or an experienced developer aiming to level up your OOP expertise, this course is your ultimate guide to mastering Object-Oriented Programming with Python. Enroll now and embark on a journey to becoming a proficient Python OOP developer!
Software engineering · Information technology · Python
Trusted teacher: Course description: Title: Programming course for beginners Duration: 8 weeks (16 sessions of 2 hours each) Description: This programming course for beginners is designed for average students who want to learn the solid foundation of programming. Whether you are interested in Python, JavaScript, HTML, CSS or PHP, this course will provide you with the essential knowledge to create your own programs and applications. Through clear explanations, real-world examples and practical exercises, you will develop your understanding of key programming concepts and be able to apply this knowledge in real-world projects. Lesson Plan : Week 1-2: Introduction to programming and fundamental concepts - Presentation of programming languages (Python, JavaScript, HTML, CSS, PHP) - Understand variables, data types and basic operations - Introduction to control structures (loops, conditions) - The functions and organization of the code Week 3-4: Object Oriented Programming - Understand the basic concepts of object-oriented programming - Creation of classes and objects - Using attributes and methods Week 5-6: Web development - Introduction to HTML and CSS - Creation of static web pages - Using JavaScript to interact with page elements Week 7-8: Applications and projects - Using Python, JavaScript, HTML, CSS or PHP to create simple programs and applications - Creation of a final project to put into practice all the skills acquired Each session will include a theoretical part followed by practical exercises to consolidate the concepts covered. You will also be encouraged to ask questions and work on personal projects to reinforce your learning. Join this exciting course and develop your programming skills, you'll be ready to create your own programs and applications in no time!
Computer programming · Information systems · Python
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Our students from Anderlecht evaluate their Python teacher.

To ensure the quality of our Python teachers, we ask our students from Anderlecht to review them.
Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 32 reviews.

Highly experienced 1-on-1 Math tutor : IB Diploma IB DP Maths AA/AI, IGCSE, Cambridge A-levels, AP Calculus, SAT, ACT, GRE, GMAT, IB Math
Dr. Iyer
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Superb experience with Dr S Iyer. Very easy to schedule, responsive, preparation before class and follow up after class. He helped my child understand concepts that were unclear, he has profound knowledge of the subject, he knows how to get my child interested and it helps to learn when one is engaged, I was present in the room during parts of the lessons and I could see he cares about my child liking what he is teaching, but is also focused on making sure she gets it. Via zoom it is very easy to have the lesson. Thank you very much Dr. S Iyer!
Review by GABRIELA
Python Basics and Machine Learning Fundamentals and AI
Natalia
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natalia was a great tutor! i really enjoyed her lessons and the prep she did for each session, would highly recommend
Review by TAMI
Web development, Programming, Mathematics, software design. (Woluwe-Saint-Pierre - Sint-Pieters-Woluwe)
Sanyam
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Sanyam, is very good at teaching. He explain in different ways so that I can understand it.
Review by STEPHANIE
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