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.

What You Will Learn: 1. Core Principles: Get started with programming by understanding essential concepts like algorithms and data structures, building a strong foundation for future learning. 2. Advanced Libraries and Frameworks: Explore powerful tools like NumPy, Pandas, and Django to develop web applications and perform efficient data analysis. 3. Practical Projects: Work on real-world applications that help reinforce your skills and create an impressive portfolio. How You Will Benefit: 1. Students: Acquire the skills needed to excel in academic projects while setting the stage for a successful career. 2. Self-Taught Learners: Avoid common pitfalls and accelerate learning with clear, hands-on guidance. 3. Professionals: Expand your expertise to meet industry demands and unlock new career opportunities. Why Choose My Courses? 1. Personalized Approach: Each course is tailored to your skill level and learning pace, ensuring you receive the right guidance and support. 2. Theory and Practice: Combine theoretical knowledge with hands-on exercises for a well-rounded and lasting understanding. 3. Solving Real-World Problems: Learn how to tackle common programming challenges, from debugging to performance optimization, equipping you with practical problem-solving skills.

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.

doctoral student in engineering sciences provides support courses in analog and digital electronics at any DEUG level and engineering schools. having scientific and technical knowledge, three years of experience in the field of teaching, pedagogy and a sense of listening and analysis, I am able to help pupils and students and train them in the chapters of which they are having difficulty. for more info please contact me

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.

Start with the fundamentals like variables, loops, and conditionals, and progress to more advanced concepts including manipulating files, images, and using Python libraries like Numpy, Scipy, Pandas, and Matplotlib. Also explore the fundamentals of object-oriented programming. Why choose this Course? By opting for these courses, you will have the opportunity to consolidate your knowledge through practical exercises and concrete mini-projects which will strengthen your Python skills. Each session will be interactive, allowing you to ask questions and receive constructive feedback on your code. You will be able to benefit from personalized support. Lessons are tailored to your level, whether you're looking to pursue a career in programming or just want to learn for fun. Sessions are tailored to your goals, and ongoing support is provided to overcome any challenges you may encounter.

The course module is adapted to the student. You will earn: ▪️ An integrated digital marketing strategy based on your own organizational context. ▪️ Skills to effectively analyze and leverage data to make breakthrough data-driven decisions. ▪️ A future perspective on marketing and an overview of how to use emerging digital channels and technologies, such as artificial intelligence (AI) and chatbots, within your organization. ▪️ Accept the challenges and opportunities of disruptive technology in your digital marketing strategy.

Programmer engineer with more than ten years of experience teaches programming classes at all levels. My classes can help students of Computer Science Degrees or Cycles, new programmers or someone who is making their website or interacting with an Artificial Intelligence assistant. - At the introductory level you will learn concepts such as variables, data types, flow control statements, functions, pointers, arrays, structures and search and sorting algorithms. This is what is normally taught in the "Programming Fundamentals" subject in the first year of a Bachelor's Degree in Computer Science or in other similar degrees. - At the intermediate level you will learn more advanced concepts: classes, constructors, inheritance, polymorphism, interfaces, exceptions, access modifiers, collections and data structures. - At the advanced level you will learn concepts of object-oriented programming, functional programming, database connections, HTTP protocols, creating web applications or how to deploy an application. If you are already a programmer, you may want to take some refresher classes to reinforce certain concepts.

Flutter is the mobile app development framework from Google, based on Dart. You will learn: - How to develop a mobile app from scratch on iOS and Android - How the use Riverpod, the best state management system - How to use Google Firebase (Authentication, Firestore, Cloud Functions, Cloud messaging, ...) - Testing automation I'm a software engineer with 4 years of experience coding with Flutter and more than 10 years working for IT companies.

I am currently working as an independent consultant, technical writer, online teacher 🧑‍🏫 and course content developer in Python, 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 experience? ✔️ Understanding the basic concepts (variables & types) ✔️ Math & Statistics (explained easily) ✔️ Data Manipulation (data cleaning, preprocessing...) What topics do I cover for people with Python experience? ✅ Classic libraries: Pandas, NumPy, Scikit-learn, TensorFlow ✅ Data Analytics/Visualization: Plotly, Seaborn, Matplotlib ✅ Domains: Regression, Classification, NLP, LLM, RAG, Computer Vision, Neural Networks, Ensemble Methods, Clustering, Dimensionality Reduction ✅ MLOps: MLflow, Prefect, 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! 😉

Recently graduated from EPFL in communication systems, I would be happy to consolidate your knowledge and provide you with assistance in the fields of mathematics and programming/algorithmics. We can work together on exercises that are worrying you, or I can select several for you that would target your shortcomings in order to eliminate them. I want to impart an understanding and appreciation of mathematics.

In this course, you will learn how to efficiently package, containerize, and deploy Python applications and microservices using Docker. The course covers fundamental Docker concepts, best practices for structuring Python projects, and strategies for building scalable and portable applications. Through hands-on projects, you will gain practical experience in creating Docker images, managing containers, and orchestrating microservices, enabling seamless deployment across different environments. Contact me if you want to have more information about the course!