Minecraft and Coding: Adventures in Programming

I'm a Mathematics & Computer Science student wishing to share my passion for these topics with others! I find it essential to present the topic intuitively and pleasantly, with plenty of examples and visual aids. I teach the following courses: Mathematics: Calculus, Discrete Mathematics, Galois Theory, Group Theory, Linear Algebra, Real & Complex Analysis, and Topology. Computer Science: Artificial Intelligence, C/C++, Data Structures, Data Science, HTML5, Java, and Python.

Having 9 years experienced in IT industry, with 6 years in Servicenow. Agenda of System Admin crash course Session : What is ServiceNow ITIL and ITSM User Interface and Navigation ICP Form Self-Service and Service Catalog Knowledge bases and Articles Reporting and Dashboards Visual task boards Other admin accesses Development Crash course, day courses, REST Integration and Service Portal sessions are also taken.

An experienced tutor with 7+ years experience of tutoring in Amsterdam, Spain and India. I have experience teaching IB students, bachelor's and master's student. - I adapt to the learning style of the student. - Maths is fun if its taught with right examples.

I'm offering these courses because I'd like to get some hands-on experience tutoring Computer Science Fundamentals. I'm an experienced educator with a Masters from Columbia University Teachers College and extensive tutoring experience from Geometry to SAT Math. I create instructional materials for companies in New York City and provide private tutoring for clients.

Master Python with Personalized Courses Discover the art of programming with Python courses tailor-made to meet your specific needs. Whether you are a beginner, intermediate or professional, my lessons are suitable for all levels. Why Choose My Courses? Personalized Teaching Approach: Each course is tailored to your skill level and individual goals. Practical Experience: Learn by doing with real-world projects that build your understanding and skills. Ongoing Support: Get unlimited email support for any questions you have between sessions. As a Python expert, I have a passion for teaching and sharing my knowledge. My goal is to guide you effectively in your learning journey. Book Your First Lesson: Start your journey to Python mastery now by booking your first lesson. Whether you aspire to enter the development field or hone your existing skills, these courses are designed for you.

Native Android development allows you to harness the full power of the platform, creating applications that are not only performant but also provide a seamless user experience. By leveraging the rich ecosystem of tools and libraries, you can build apps that truly resonate with users, ensuring they are fast, responsive, and deeply integrated with the Android operating system. In this class we learn about topics like: 1. Introduction to Android. 2. Introduction to "Android Studio" IDE. 3. Different files in Android Studio. 4. Create your first "Hello World" Android Application". And Unlock the world of mobile technology by diving into native Android application development. This comprehensive course is designed for aspiring developers eager to learn how to create robust, high-performance applications using Kotlin and Java. Participants will gain hands-on experience with Android Studio, explore the Android SDK, and understand the intricacies of user interface design, data management, and network operations. Throughout the course, you will engage in practical projects that mimic real-world scenarios, enhancing your problem-solving skills and preparing you for a career in mobile development. By the end of this journey, you'll be equipped with the tools and knowledge to build innovative applications that meet the needs of users and stand out in the competitive app marketplace.

In this class, you’ll embark on an exciting journey into the world of programming with Python. You’ll start by writing your very first Python program, gaining hands-on experience from the get-go. As you progress, you’ll delve into the core fundamentals of Python, including variables, data types, control structures, functions, and modules.

Join me for this exciting lesson as we explore the world of LaTeX, the perfect tool for creating professional, high-quality documents. We’ll start by learning how to install Latex on your computer, then we’ll get into the basics, like coding and formatting, and how LaTeX can make it easier for you to write organized, publishing-friendly articles and research papers. During the session, I’ll show you how to use different packages, how to insert mathematical equations, and how to design advanced charts and tables. The lesson will be presented in clear detail, with practical examples, so you can easily follow along. Don’t miss the opportunity to develop your academic writing skills and improve the quality of your work by learning LaTeX in an interactive and supportive environment.

As an experienced computer trainer, I offer personalized courses in the field of computer science in general, as well as in algorithms and programming. My goal is to help students progress without overburdening them. After each lesson, homework will be assigned and progress reports will be provided periodically. This course is intended for beginners as well as intermediate level students. The objective is to learn how to program functions and to develop professional thinking in this area.

Aged 31 and a Doctor in mathematical physics (theoretical physics), I teach physics and mathematics courses for high school and license in French, Arabic and English. As I have experience in the field of private lessons of 8 years and 2 years as teacher of the program of the French mission and access competitions to higher schools.

What You Will Learn: Core Principles: Introduction to programming, algorithms, and data structures to build a strong foundation. Advanced Libraries and Frameworks: NumPy, Pandas, and Django to create web applications and perform efficient data analysis. Practical Projects: Real-world applications to strengthen your skills and build an impressive portfolio. How You Will Benefit: Students: Gain the necessary skills to excel in academic projects and lay the groundwork for your career. Self-Taught Learners: Avoid common mistakes and fast-track your progress with clear, hands-on guidance. Professionals: Enhance your skill set to meet industry demands and open up new career opportunities. Why Choose My Courses?: Personalized Approach: Each course is customized to your level and learning pace, ensuring tailored guidance and support. Theory and Practice: You’ll combine theoretical concepts with hands-on exercises for a comprehensive and lasting understanding. Solving Real-World Problems: Learn how to tackle the common challenges faced in programming, from debugging to performance optimization.

In this class, kids will learn the fundamentals of programming and computer science in a fun and engaging way, and discover how these hard and soft skills can be used in their personal and future professional lives. Through interactive lessons and hands-on projects, kids will explore the world of code and create their own digital creations. Throughout the course, they will: Learn the basic concepts and terminology of programming Experiment with different programming languages and platforms Create simple programs and apps using code Collaborate with peers and share their creations Develop problem-solving skills, logical thinking, and other valuable skills that will be useful in any field By the end of the class, your children will have the knowledge and confidence to continue exploring the exciting world of programming and computer science and will understand how code can be a powerful tool for achieving success in any field. They'll be able to choose the job they want in the future or even build their own company. So, join us and code your way to success!

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.

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!😉

Many of students find it difficult to understand the mathematical concepts and programming algorithms. But don't worry as I know how to make that easy for you to understand these concepts. I have completed mathematics honors and pursuing data science and Artificial Intelligence. So, what all you need is my support to ease your learning. I can help you in any mathematical and computer science concept. Also, I am very familiar with Python