Python for Machine Learning

The following is a list of available Python for Machine Learning classes at ISInc. If you do not see the course you are interested in, please contact us. We can setup dedicated, online and onsite classes too! Minimum students required: 4, Maximum students: 15


Course Number: ISI-1614

Description

Unlock the power of machine learning and transform your Python skills into real-world impact. With over 91% of businesses investing in AI initiatives, the ability to apply machine learning is one of the most in-demand tech skills today. This hands-on course will guide you through building powerful algorithms using Python?s Scikit-learn library?equipping you to predict classifications, continuous values, and more.

Whether you're refining your models with Lasso and Ridge regression or deploying interactive APIs, this course gives you the tools and techniques to apply machine learning confidently in your day-to-day work.

In this course, you?ll gain practical experience applying machine learning algorithms using Python. You?ll learn how to process and analyze data using NumPy and Pandas, create both classification and regression models with Scikit-learn, and apply feature engineering techniques to real-world datasets. You?ll also explore key concepts such as supervised vs unsupervised learning, model evaluation, and end-to-end model deployment as APIs.

Who Should Attend?
This course is ideal for experienced Python developers who are ready to expand their skillset into machine learning. If you want to build a modern portfolio of machine learning projects, understand both supervised and unsupervised learning algorithms, and learn practical deployment methods, this course is for you.

Prerequisites

To be successful in this course, learners should have the following: Intermediate Python skills and knowledge

Level of knowledge and experience gained from Python for Data Science

List Price

$1295.00

Upcoming Classes

Available classes for Python for Machine Learning
Start Date End Date Class Status Days Location Start Time
11/10/2025 11/11/2025 Seats Available Consecutive days Live Online 6:00am Enroll
02/19/2026 02/20/2026 Seats Available Consecutive days Live Online 6:00am Enroll
05/07/2026 05/08/2026 Seats Available Consecutive days Live Online 6:00am Enroll
All class times are Pacific Time Zone.