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Python lessons in La Celle‑Sous‑Gouzon

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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
(7 reviews)
Join - Paris, France£26
Trusted teacher: Advanced Courses: Physics and Python Programming - For High School, University and Professionals Deepen your knowledge of physics and Python programming with advanced courses designed to meet your academic or professional challenges. This comprehensive and interactive program will allow you to acquire a thorough mastery of complex physics concepts while learning to write powerful Python code optimized for real-world applications. --- Why choose this course? - Multidisciplinary expertise: Courses led by an expert with solid experience in advanced physics and computer programming. - Tailor-made approach: Each course is tailored to your specific needs, whether it's passing exams, completing complex projects or perfecting your professional skills. - Effective methodology: Combination of clear explanations, practical examples and targeted exercises. - Flexibility of formats: Sessions of 60, 90 or 120 minutes depending on your availability and your objectives. --- Course content: Physics (Secondary to University): 1. Fundamental bases: - Laws of motion (Newton, energy, work). - Electricity, magnetism and electrical circuits. - Waves, optics and thermodynamics. 2. Advanced Physics: - Quantum mechanics and special relativity. - Physics of materials and crystallography. - Fluid dynamics and industrial applications. 3. Solving complex problems: - Analysis of real physical situations and mathematical modeling. - Strategies for solving academic and professional exercises. --- Advanced Python Programming: 1. Advanced concepts: - Object-oriented programming (OOP): classes, inheritance, polymorphism. - Advanced data structures: stacks, queues, binary trees. - Exception handling and performance optimization. 2. Specialized tools and libraries: - NumPy and SciPy for computational physics. - Matplotlib and Seaborn for data visualization. - Pandas and analysis tools for processing large data sets. 3. Practical projects: - Numerical resolution of systems of complex physical equations. - Automation of calculations and creation of optimized algorithms. - Simulation of physical phenomena in Python. --- Course formats: - 60 minutes: Focus on a specific subject or resolution of a complex exercise. - 90 minutes: Ideal for exploring a topic in more depth and for practical exercises. - 120 minutes: Perfect for intensive sessions, including theory, practice and in-depth review of concepts. Each course follows a methodical structure: 1. Review or introduction. 2. Advanced theory with concrete examples. 3. Practical applications and interactive exercises. 4. Questions and answers to consolidate your learning. --- Tools and resources included: - Collaborative platform: Digital whiteboard, screen sharing, interactive simulations. - Teaching materials: Course notes, Python tutorials, summary sheets. - Continuous assistance: Possibility to ask questions between classes by email. --- About your teacher: A professional passionate about physics and Python programming, with years of experience in higher education and industrial problem solving. Known for his ability to explain complex concepts in a clear and accessible way, he will accompany you at every stage of your learning. --- Book now! Whether you are a student, researcher or professional, this advanced course is designed to give you the tools you need to succeed in the demanding fields of physics and Python programming. Enroll to turn your ambitions into concrete achievements!
Physics · Python · Computer programming
Master the Fundamentals: My tutoring sessions are designed to give students a solid foundation in Object-Oriented Programming (OOP) and Data Structures and Algorithms (DSA). Whether you're a beginner or need to strengthen your skills, we will cover the essential concepts that are critical for coding and software development. Language Flexibility: I offer tutoring in Java, C, C++, and Python, providing flexibility for students to learn in the language they are most comfortable with or the one required for their academic needs. We’ll compare the nuances of these languages to help you develop a deeper understanding of programming concepts. Comprehensive OOP Concepts: Learn the core pillars of OOP—encapsulation, inheritance, polymorphism, and abstraction—and how to implement them in real-world coding projects. My lessons focus on making these abstract concepts easy to grasp through hands-on practice and examples. Data Structures & Algorithm Mastery: From arrays, linked lists, and stacks, to more complex structures like trees, graphs, and hash tables, I guide students through the implementation and usage of these critical data structures. We’ll also explore fundamental algorithms like sorting, searching, recursion, and dynamic programming, ensuring you can tackle coding problems efficiently. Problem-Solving Skills: I focus on building strong problem-solving skills and critical thinking. We’ll work on a variety of programming challenges, competitive coding exercises, and real-world applications that sharpen your logical reasoning and coding proficiency. Interactive & Engaging Learning: Every session is interactive, with plenty of coding exercises, real-time debugging, and immediate feedback. You’ll walk away with a thorough understanding of how to apply programming concepts in a practical way. Exam Preparation & Beyond: Whether you're preparing for school exams, coding interviews, or personal projects, my tutoring is geared toward equipping you with the skills and knowledge you need to succeed. I also provide practice problems and quizzes to ensure continuous learning and improvement.
C - c++ · Python · Java
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 4.9 out of 5 based on 161 reviews.

Private coding / programming lessons with python (Paris)
Matías
Highly recommended teacher!!! Matias teaching methods are great. Very clear and concise. Doesn’t waste your time explaining meaningless background information and always lectures with the intent to help you understand the material. He’s helped me understand content for my master course on Python and is one of the best lecturers that I’ve had. Your passion and dedication is beyond words! Thank you for getting me through this hard quick semester, I honestly would have never passed if it was not for your help! Thank you so much once again!
Review by JURIS
Scientific subjects (Math, Physics, Chemistry) for students of the French mission/for middle and high school students (Casablanca)
Amin
So far, I've been getting help with my IGCSE 's in Math and Computer Science with Amin. In most of the lessons I've been with him, he's been really helpful and responsible. He has also been very patient. He helps me become more confident in my answers and makes the lessons pretty fun! After my lessons with him, I do understand my topics more and am able to go to my classes in school without feeling lost. If you're ever struggling with Physics or Programming, I'm sure he can help you too :)
Review by MANIJ
Python, SQL and/or Machine/Deep Learning Classes at your place or Online! (Lucerne)
Benito
I highly recommend Benito as a teacher for Machine Learning and Python! Benito is very patient and has exceptional teaching skills, which combined with his expertise in both theory and practical applications makes every lesson very enjoyable. He explains complex machine learning topics using real-life examples, ensuring that learning is comprehensive and intuitive. Top!
Review by HURIYE