Interested to Teach: - Python (Beginner to Intermediate Level), Assign Programming Puzzles. - Mathematics (Y3 to Y10 Level) - Word, Excel (Beginner to Expert Level) - Other Microsoft Apps (Beginner to Advanced Level) Can teach for Student or Business

Teaching python to beginners! In these classes, you will learn the basics of python programming, functions, lists, sets, and much more with practice assignments and assessments... I have experience in teaching python to university peers.

Do you want to learn Artificial Intelligence from scratch or do you need support with a subject, practice or project related to AI? The classes are online, one-on-one, and fully tailored to your level and goals. We can work from the fundamentals to practical applications using Python, generative AI tools, language models, and APIs. We can work on content such as: fundamentals of Artificial Intelligence; Python applied to AI and data processing; data preparation, cleaning and analysis; NumPy, pandas and data visualization; Introduction to Machine Learning; classification, regression and model evaluation; Generative AI and Language Models (LLM); use of ChatGPT, Gemini and other AI tools; design and improvement of prompts; consumption of AI model APIs; task automation using AI; AI integration in applications; search and work with information and documents; development of small projects and prototypes; internships, projects and exam preparation. The goal is not only to learn how to use AI tools, but to understand how they work, when to use them, and how to practically integrate them into your own projects. We can start from scratch, work on the syllabus of your subject, or develop a specific application or project step by step. In addition to the classes, you will have access to our educational platform with its own documentation, exercises, examples, practices and other resources to continue working between sessions. Additional information for the student You can bring your own syllabus, practical exercises, data, or project. We will adapt the classes to your prior knowledge and the objective you want to achieve.

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.