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
Master the skills to use machine learning in your day-to-day work with this Python course.
Master the skills to use machine learning in your day-to-day work with this Python course. Create algorithms to predict classes, continuous values, and more.
This course is designed for the student who already knows some Python and is ready to dive deeper into using those Python skills for Machine Learning. With a focus on SciKit Learn, you?ll learn all aspects of Machine Learning ranging from a variety of regression types (Linear / Lasso /Ridge), Elastic Net, K Nearest Neighbors and Means Clustering, Hierarchal Clustering, DBSCAN, PCA, and Model Deployment.
This course includes 6-months access to the full course content in on-demand format to support post-class reference and review.
Who should attend?
Experienced Python developers looking to understand a wide variety of machine learning algorithms, including supervised and unsupervised learning algorithms.
To be successful in this course, learners should have the following: Intermediate Python skills and knowledge
Level of knowledge and experience gained from Python Programming
$1895.00
| Start Date | End Date | Class Status | Days | Location | Start Time | |
|---|---|---|---|---|---|---|
| 06/03/2024 | 06/04/2024 | Seats Available | Consecutive days | Live Online | 7:00am | Enroll |
| 09/23/2024 | 09/24/2024 | Seats Available | Consecutive days | Live Online | 7:00am | Enroll |
Serving the business community since 1982, ISInc provides in depth, hands-on training on a wide variety of topics
2554 Millcreek Drive
Sacramento CA 95833
Tel: 800-877-1707
Email: [email protected]