
Machine Learning
Course Overview
Artificial Intelligence (AI) and Machine Learning are rapidly growing fields, and understanding their fundamentals is becoming a valuable skill in today’s job market. As part of modern AI education, this course introduces supervised learning, a core concept in machine learning and AI, guiding students to build a classification model using Python while learning how to use AI to analyze data and make predictions. Through a combination of theory and hands-on practice in our AI classes, students will explore key Artificial Intelligence and Machine Learning techniques, including the mathematical models that power modern AI applications.
Course Objectives
- Learn the functions and make use of different block types (motion, looks, sounds, pen, data, sensing, events, control, operators, etc.) in their creation
- Learn strategies for solving problems, designing projects, and communicating ideas
- Learn to make their very own animations and games

Supervised Learning
Students will learn the fundamentals of supervised learning, a key concept in Artificial Intelligence (AI) and Machine Learning, where machines are trained using labeled data to make predictions. They will explore how models learn from input–output examples while gaining an understanding of how to use AI in real-world technologies and data-driven applications.
Classification Models
Students will be introduced to regression and classification models and how they are used to analyze data. Through these concepts, students will also gain an understanding of how AI systems use data to identify patterns and make predictions, such as estimating values or categorizing information.


Problem Solving Techniques
Students will learn techniques to troubleshoot and improve machine learning models used in Artificial Intelligence systems through our AI classes, developing practical skills that are essential in modern AI education. This includes identifying issues in datasets, adjusting model settings, and evaluating results to enhance model performance and prediction accuracy.

Course Completion
2 Modules (avg. 32 Lessons)
What Parents Say
About Kodecoon
Teachers and admin staff were all very professional and nice.
Virtual lessons saved us the hassle to trouble and the kids are able to create some fun games on their own.
Highly recommended.
Full week of coding camp but time well spent! ^^
My son had fun, was engaged and made great friends even though everything was fully virtual (which was great because it saves me time from commuting!)
Hannah Daddy
The teachers are fun and engaging, esp Teacher Deddy who is dedicated in his work and will always check on the students’ progress.
From scratch to web programming to python, Chloe has improved alot in her coding skills under the guidance of Kodecoon’s teachers.
I am glad we have chosen Kodecoon!


















