AI/Machine Learning II : Logistic/ Linear Regression
Group | 8th - 12th Grade
$175.00$120.00
An introductory Machine Learning course focused on the foundational principles and applications of Linear and Logistic Regression. This course explores how these fundamental algorithms are used to make predictions and classifications within AI and machine learning workflows. Students will gain an understanding of the mathematical concepts behind these models, as well as practical skills to implement them. Through a combination of theory and hands-on practice, participants will learn how to build, evaluate, and optimize regression models for real-world data analysis and decision-making.
NOTE: It is required that the student is somewhat proficient in python before taking any AI/ML course. We highly recommend the student takes Python and Python 2 offered by Mini Makers, as these will provide a strong foundation of the Python language.
The lessons are taught in a group setting, with the classes 4 students at a time. There will be a single instructor who is proficient in the language. All course content will be available to the students at all times, and they will be able to get their doubts answered either in class or through email. These Classes will be divided up into 8 classes in total, with 2 classes per week.
There are a fixed amount of sessions per week for group lessons, which means that if a student misses their session for one week, they will be able to catch up by attending any of the other lessons that week. If a student is rendered completely unavailable for those sessions, they can schedule a 30 minute makeup at no additional cost during which an instructor will quickly cover the missed content to catch the student up.