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Computer programming lessons in Reykjavik

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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!
Computer programming · Computer engineering · Computer science
Trusted teacher: I am a graduate of the University of Westminster, where my journey into data science and machine learning began during my work in data analysis for physical and mathematical models. Over the last 16 years, I have been teaching computer science and programming, and I specialize in helping students and professionals understand the fascinating world of machine learning. Whether you're a complete beginner or looking to deepen your knowledge, I offer personalized, project-based lessons that focus on the practical applications of machine learning in real-world scenarios. What I Offer: Project-based learning: Learn machine learning by working on real-world projects, from building predictive models to data classification and clustering algorithms. Customized lessons: Each lesson is tailored to your level and goals, whether you’re aiming to break into data science or fine-tune your skills in Python, TensorFlow, or scikit-learn. Data science and ML pipeline: Gain a solid understanding of the entire machine learning pipeline, from data preparation and feature engineering to model selection and evaluation. Portfolio and project support: If you're working on a portfolio project or finalizing a bootcamp assignment, I can help guide you through the process to make your project stand out. Pre-class materials and homework: You'll receive study materials before each lesson to prepare and assignments afterward to reinforce what you've learned. Flexible online lessons: Learn machine learning from the comfort of your home with flexible scheduling. I currently work as a freelancer collaborating with companies, start-ups, and schools, providing machine learning expertise and tutoring. Ready to Master Machine Learning? If you're eager to learn how to implement machine learning algorithms in real-world projects or if you have any questions, feel free to send me a message - I will surely reply.
Python · Computer programming
Ace Competitive Programming: I specialize in helping students master the art of competitive coding. Whether you're preparing for coding competitions like Codeforces, LeetCode, Hackerrank, or university-level contests, I guide you through the problem-solving techniques and strategies used by top coders. Structured Problem Solving: My tutoring sessions focus on breaking down complex problems into manageable steps. You’ll learn how to approach coding challenges with a clear and logical mindset, enabling you to solve problems efficiently under time constraints. Algorithm Optimization: Understand and implement key algorithms such as greedy algorithms, dynamic programming, backtracking, and divide-and-conquer. We’ll focus on optimizing your solutions for speed and efficiency, ensuring your code runs within time limits during competitions. Data Structure Expertise: Gain a deep understanding of how to effectively use arrays, linked lists, stacks, queues, trees, graphs, and other advanced data structures to solve challenging problems. You’ll learn when and how to choose the right data structure to improve performance. Hands-On Practice: Every session includes real-time problem-solving, where we’ll tackle actual coding problems from popular competitive platforms. I provide immediate feedback on your code and guide you through debugging and refining your solutions. Improve Speed & Accuracy: Competitive coding is all about solving problems quickly and accurately. I help students develop strategies to think on their feet and avoid common coding pitfalls, while also sharpening their typing and coding speed. Prepare for Coding Interviews: In addition to competitions, the skills you’ll learn are invaluable for technical interviews at top companies. I provide specific coaching for coding interview prep, ensuring you’re ready to tackle both standard and advanced problems with confidence. Stay Motivated & Confident: Competitive coding can be tough, but I keep students motivated with challenging yet achievable goals. You’ll develop resilience and confidence in your coding skills, ready to take on any challenge.
Computer programming · Computer science · Self-improvement
Math · Physics · Computer programming
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Only reviews of students are published and they are guaranteed by Apprentus. Rated 5.0 out of 5 based on 7 reviews.

Android: Programming mobile applications using Android Studio (Paris)
Wissam
it's ok
Review by JACKY AIMÉ