Summer Classes Starting Soon! Use coupon code SUMMER2022 for 15% off your enrollment.

Intro to Machine Learning


Full Course

$1906 USD

Before any discounts or coupons
for 18 hours

Class Package

Virtual Machine (VM)
A Virtual Machine is a remote desktop that allows students to connect to it from anywhere. We provide VMs so that students use it during classes and to work on homework.
Student Progress Report
The parent account dashboard allows for parents to track their student's progress in the class.

Class Description:

CS82 is a math heavy course offered at KTBYTE, and require students to have mastered self-guided learning. Students will learn tools to model and understand complex data sets, tools and algorithms that are commonly used for tackling "Big Data" problems. Covered topics include different techniques in supervised learning, unsupervised learning and reinforcement learning. This course is taught in Python using the pandas, numpy, and sk-Learn libraries. Students will have roughly 2 hours of homework assignments per week, plus a final project due at the end of the semester. CS82 vs CS0*: CS82 provides the theoretical and mathematical foundations to understand learning, and students do regular problem sets. The goal is to derive and understand the actual equations of various models. This includes techniques such as clustering, linear regression, and naive bayes. For many KTBYTE students, CS82 is also the first time they program using python. Unlike core classes, students are not taught python 'from the ground up', and are expected to pick up the language as it is used with examples in class.

Research from KTBYTE students and alumni


Completion of CS02a or AP CS, or permission of instructor. Also requires Algebra II math experience.

Related Classes

Sample Projects

These are examples of projects that students create as they grow their skills in CS82

Linear Regression

All Class Times

We're planning our next semester. Please check back in August for Fall classes.
In the meantime, click here to submit your time request.

No classes in session.
In the meantime, click here to submit your time request.

These times don't work for you?

Your student's availabilities in Eastern Time
Press the green plus button to add more availabilities.
Email Address
Phone Number
Student Age
Additional Comment