Physics, math and programming are amazing tools for creativity. I see them as hammers and saws; once you've mastered the basics, you can start building your own stuff only limited by your own creativity. Whether you want to build a computer game in Unity or simulate lava flowing from a volcano etc., I can help you. If you need some introductory level math or university level physics, I'm there too! I can even help you build your very first machine learning algorithm, or simply teach you how to program in the first place. I love to teach and have been doing it for a while! I do computational physics and statistics in bio-complexity (that's stuff like simulating ant farms or bacterial colonies etc.) and I'm currently working on my masters thesis.

MsC in Engineering with top marks and research assistant of Econometrics for Italian top University. Business Expert in Risk Management. Academic Research in Quantitative Finance and Algorithmic Trading. Common discipline covered: Econometrics (with applications in R, Stata, SPSS, Eviews, Gretl), Statistics, Financial Mathematics, Quantitative Support for Master Degree Thesis (from Regressions to all statistical applications), Risk Management, Mathematics, Computer Science I help with assignments, exams, presentations, advanced research, dissertations, big programming projects and general skill enhancement. Proficient in all major statistical packages: R, SPSS, Stata, Matlab, EViews, Gretl Technical Skills (application and often implementation from scratch): 1) Econometrics: Multivariate Regression, Discrete variable models (i.e. Logit), Time series models (i.e. AR/MA, ARCH/GARCH), Vector AutoRegressive model (VAR), Cointegration (Engle-Granger, VECM), Long-memory process (Fractional Integration), Regime switching models (Hamilton Filter), Kalman Filter, Unobserved Components ARIMA model, Beveridge-Nelson decomposition (Hansen's approach), Copula methods, Metropolis-Hastings algorithm, Black-Litterman model (Meucci's approach), Hierarchical Risk Parity 2) Quantitative Trading (Mid-High Frequency Trading): Stat Arb & Pairs Trading models, Order Imbalance & Order Replenishment effects on intraday returns, Optimal Setup of Entry-Exit Trading Triggers for Quant Trading Strategies, Stat Arb Bertram Model, Data sampling rules for non equally-spaced data (time vs. volume clock for high freq data), Bid-Ask Bounce Bias & Sahalia Method for Microstructure Noise Estimation & Test, Hayashi-Yoshida Lead-Lag Index, D'Aspremont Method for Mean Rev Portfolios, Market Fragmentation in Financial Markets, High-Low prices & Pivot Points trading rule, Trend Following Strategy, Avellaneda-Stoikov Model for Optimal Trading Execution 3) Risk Management: P&L production & analysis for energy trading, VaR & Profit at Risk for energy trading, Merton approach for Credit VaR with/without credit rating migrations, EVT & Copula-based VaR, Stress Test models, Structured Credit Models for Regulatory Risk-Transfer, Additional Value Adjustments for Balance Sheet, Risk Aggregation, Model Risk, Interpolation Methods for multi-year PD Term Structure, Methods for Semidefinite-Positive Corr Matrix Adjustment 4) Financial Mathematics: Longstaff-Schwartz, HJM model (Glasserman's scheme), Greeks with Finite Difference Method, CPPI Products & Cushion Multiplier Setup 5) Machine Learning: Support Vector Machine, Decision Tree, Principal Component Analysis & Regression, XGBoost, Random Forest

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.

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.

Welcome to Personalized Learning Excellence! In our first session, we'll set expectations and explore your preferred learning methods. My tutoring is all about you – flexible, interactive, and tailored to your pace. Engage in dynamic voice chats, where questions are encouraged, and concepts are demystified at your speed. Whether you bring your ongoing projects or pinpoint specific challenges, I'm here to guide you. We'll dive deep, strengthening your reasoning skills as we unravel coding puzzles together. Struggling with a particular topic? Fear not! Share your concerns, and I'll craft targeted activities that not only conquer the hurdle but also illuminate interconnected concepts, ensuring you build a robust foundation. Unlock the potential of ongoing learning in our programming sessions. Each lesson serves as a stepping stone, building upon the last to deepen your coding expertise. Join me for a transformative experience where the cumulative effect of multiple sessions enhances your programming prowess. Let's embark on a series of lessons that delve into the intricacies of coding, turning each session into a valuable building block toward your programming mastery. Let's embark on a learning journey where understanding takes the lead, and your coding proficiency soars to new heights!

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

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.

Would you be interested in learning how to use Artificial Intelligence in your daily life? In my AI classes for kids, you will learn how to use this advanced technology in a practical and fun way! During our sessions, we'll explore different ways AI can improve our everyday lives, from shopping online to playing video games. In addition, you will learn to code and create your own AI applications. My classes are suitable for children from 8 years old and are held online via video calls. No previous programming experience is required! If you are interested in learning about AI and how to use it in your life, feel free to contact me! I'm looking forward to teaching you everything I know about this amazing technology.

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.

Virtual reality is going to be used widely in the years to come. In training, remote working, socializing, discovering. It is not meant to replace reality, but offer experiences in a safe and easy environment to spark curiosity. In this class I'll teach children need what is and how to use Virtual reality, Augmented Reality and discover the potential these technologies have to offer.

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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.