Python is one of the best, if not the best, language to start learning programming. It is also one of the most widely used languages today, especially in cutting-edge areas such as machine learning. This popularity means that Python is constantly evolving. It offers a wide range of tools and libraries, which are free and very varied. As an aeronautical engineer, I like to share my knowledge and derive satisfaction from it by teaching and motivating others. I'm used to working with people of different ages. I believe in the importance of segmenting learning, visualizing progress, setting concrete goals and practicing regularly. Beyond these general principles, there is no magic rule or method. Some approaches work with some students but not with others. Adaptation to individual needs is therefore the main objective of private lessons. So I will do my best to find what motivates and helps my student.

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The best techniques and programming languages to build the most powerful applications using Java, SpringBot, Angular, Bootstrap, and various databases, with the application of the testing system, Microservices, and many of the latest technologies. teaching best and latest technologies for building web web applications using java, spring boot, angular, bootstrap, database, with testing technologies, micro services architecture and more latest technologies

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Mathematics is the best way to enhance your intellect but also work on your intuition and your ability to see patterns. Good day, my name is Alex, I have been teaching math for over 10 years to hundreds of students. I will teach all grades from elementary school all the way to high school and IB/GCSE etc. My philosophy revolves around these three values: -Encouragement -Inspiration -Discipline I specialize into teaching mathematics and programming, but in some occasions I teach physics too. Feel free to contact me.

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.

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I am currently working as an online teacher 🧑‍🏫 and course content developer in Python, SQL and a wide range of Machine/Deep Learning topics 🧑‍💻. My experience enables me to offer lessons ranging from beginner to advanced levels. I can tailor the classes to your specific needs and schedule, providing a well-structured learning path 🚀. What do you get from me? 👉 Learn at your own pace without any pressure 👉 Well-documented tutorials What topics do I usually cover at the beginning for people without Python/SQL experience? ✔️ Understanding the basic concepts (variables & types) --> Python/SQL ✔️ Math & Statistics (explained easily) --> Python ✔️ Data Manipulation (tables, dataframes, joins,...) --> Python/SQL What topics do I cover for people with Python/SQL experience? ✅ Classic libraries: Pandas, Numpy, Scikit-learn, Tensorflow, Pytorch ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, Computer Vision, Generative AI, Time Series, Neural Networks, Ensemble Methods ✅ MLOps: MLflow, Prefect, Mage, GCP, AWS Whether you are new to the field, seeking to enhance your skills, or require assistance with a work/school project, feel free to reach out to me!😉

I am a lecturer and a senior software engineer. I got my degree in Engineering with Mathematics and completed the masters with Computer Science heavily covered with mathematics. I have more than 7 years of teaching experience. I will work with the student and get to know about his/her level. Then I will improve it from there. I will teach so that the learning will be an interesting experience for the child.

Explaining the basics of programming and artificial intelligence for children using Scratch and Python To teach kids the basics of programming and artificial intelligence using Scratch and Python, start with simple concepts with fun applications: Scratch: Introduce kids to visual programming using colorful blocks. Start with projects like creating an interactive story or a simple game. Teach them concepts like loops, variables, and conditions using animations. Python: Python is introduced as an introduction to scripting. Use easy libraries like turtle to draw or random to create random games. Introduce them to AI with a library like Teachable Machine to easily classify images or sounds. Practical example: Create a simple game in Scratch, then use Python to develop a similar game to illustrate the difference between visual and textual programming.

Dive into the fascinating world of robotics and programming. In this hands-on course, students will learn how to build and program their own robots like Edison and Thymio. Participants will gain fundamental engineering and programming skills as they design, build, and program robots to perform specific tasks. They will learn concepts of logic, problem solving, and computational thinking in a fun and hands-on way.

Passionate about programming, we offer Python support courses adapted to all levels, from beginner to advanced. These courses are aimed at students in preparatory classes for grandes écoles (CPGE) as well as anyone wishing to acquire solid programming skills. The lessons cover the essential foundations of Python with a clear and accessible teaching approach. Whether you are new to programming or want to deepen your knowledge, you will benefit from structured and progressive teaching. With a focus on concrete concepts and practical examples, these courses aim to strengthen your skills in a tangible way. You will be guided through the nuances of Python, gaining a deep understanding that will benefit you both in your studies and in your future career. Join us to explore the fundamentals of Python programming and progress to more advanced levels. Together, we will build a solid foundation and develop the skills needed to succeed in the dynamic world of computer programming.

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Nowadays, Python is almost required everywhere around us. - From smart devices like TVs and Smart Phones to Smart Vehicles - Desktop computers to high end servers Having knowledge about Python can play an important role in our life. Therefore let's start to learn PYTHON. Be sure that would be FUN. In this class we are going to talk about: - Basics of programming in computer - Getting ready a Windows, Linux, or Mac OS for coding - A little about the binary world and the mathematics behind that - Differences between 32-bit (x86) and 64-bit (x64) systems - Talk a little about how to think algorithmically - What Python is, and the benefits of learning python, and the areas it uses - How to write steps of our thinking in psudocode, and design a flowchart for our program - Getting familliar with fundamentals of Python - Writing small programms (Excercises and Assignments) - Conditional loops - Working with Input and Outputs - Working with files (Read from and Write to) Note that since this course is designed for beginner and intermediate levels, it does not contain advance topics like Object Oriented Programming (OOP)