Dive into the world of Python programming and machine learning in this hands-on introductory class! This course is designed for beginners and focuses on the foundational concepts of Python, along with the essentials of machine learning. Course Highlights: Python Fundamentals: Learn the basics of Python programming, including data types, control structures, functions, and libraries. Through practical exercises, you’ll gain confidence in writing and executing Python code. Data Manipulation and Analysis: Explore popular libraries like NumPy and pandas to handle and analyze data efficiently. Understand how to clean, process, and visualize data, preparing it for machine learning tasks. Introduction to Machine Learning: Discover the key concepts of machine learning, including supervised and unsupervised learning, algorithms, and model evaluation. Gain insights into how machines learn from data. Hands-On Projects: Apply your knowledge through real-world projects, where you'll build simple machine learning models using libraries such as scikit-learn. You'll learn to make predictions and evaluate model performance. Collaboration and Support: Work alongside fellow students in a collaborative environment, with ample opportunities for group discussions and individual support from the instructor. Who Should Enroll: This class is ideal for anyone interested in starting a career in data science or machine learning, or for those looking to enhance their programming skills with practical applications in Python. Join us and embark on an exciting journey into the realm of programming and machine learning!

Learn Python with a structured, hands-on approach! Whether you are a absolute beginner looking to start coding, a student needing help with coursework, or a professional aiming to automate tasks, these lessons are tailored for you.What we will cover: Core Fundamentals: Variables, loops, functions, and data structures.Object-Oriented Programming: Building reusable and clean code.Real-World Projects: Creating scripts, data analysis, or web scraping based on your goals. Problem Solving: Learning how to debug and think like a programmer. Lessons are highly interactive. We will write code together from day one, and you will receive practical exercises after every session to build your confidence.

I have more than 6 years of experience working with MATLAB and Python programming. MATLAB and Python programming are used for various disciplines and fields from economy to engineering. I can tutor from all levels. if you need to learn MATLAB, you must obtain your own licences and install it on your computer.

You will learn how to develop websites with and without AI, as well as skills related to the software development sector such as programming, databases, different development methodologies, and writing technical specifications.

This course is for students just starting out in CS. We'll cover programming (Python), some algorithms, data representation, basic computer architecture, networks, and databases built step by step so the fundamentals actually stick before exams or university coursework get harder. Lessons are hands-on: meaning we'll solve problems together and focus on the areas students usually get stuck on, like tracing algorithms or writing your first working programs. We'll prepare thoroughly for final examinations so you can see the best results.