Mathematics is a fundamental skill that plays a crucial role in problem-solving, logical thinking, and real-world applications. Whether you're a student struggling with complex equations or someone looking to strengthen your mathematical foundation, this class is designed to make learning maths easier and more engaging. You'll learn essential concepts in algebra, geometry, calculus, and statistics through clear explanations, step-by-step problem-solving, and practical applications. This course focuses on building confidence, improving accuracy, and developing a deeper understanding of mathematical principles. Whether preparing for exams or simply enhancing your skills, this class will help you master maths with ease.

My lessons are designed to take you from simply following code to genuinely understanding how data science works. We can cover the complete data science process, including data cleaning, exploratory data analysis, feature engineering, visualisation, statistics, machine learning, model evaluation and communicating results. Depending on your goals, lessons can include: Python, pandas, NumPy and scikit-learn Data cleaning and exploratory analysis Regression and classification Decision trees, random forests and boosting Clustering and dimensionality reduction Cross-validation and model evaluation Feature engineering and model interpretation Neural networks and deep learning foundations Bayesian modelling and PyMC Portfolio and interview preparation Support understanding university modules and projects I use diagrams, analogies and practical demonstrations to make difficult ideas easier to understand. We will normally begin with an intuitive explanation, look at the underlying logic or mathematics, and then implement the concept in Python. Lessons are personalised around your level. Complete beginners receive a structured learning path, while experienced students can focus on advanced topics, project guidance, debugging or interview preparation. You will be encouraged to explain ideas back to me, interpret results and make your own modelling decisions. My goal is not only to help you produce working code, but to help you become an independent and confident data scientist.

I am a mathematics teacher with university teaching experience. Holding a Master's degree and a State Engineering diploma, I support pupils and students in their mathematics learning with a clear, progressive method adapted to their level. I propose private lessons for: Middle School High school University students (Bachelor's degree) I can help you in the following areas: Algebra Analysis Differential and integral calculus Differential equations Statistics Probabilities Exam preparation and resits My goal is to help you understand essential concepts, improve your study methods, and gain confidence. Each session is tailored to the student's needs, with clear explanations, progressive exercises, and detailed feedback. Courses can be taught in French or English, online or in person depending on availability.

This lesson builds a solid foundation in numbers and variables by helping students understand how numbers are represented, how variables are used to express unknown values, and how they relate to real-world situations. Through clear explanations, guided examples, and practice activities, students develop algebraic thinking, logical reasoning, and confidence needed for advanced mathematics.