When does class start/end?
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
This IBM Self-Paced Virtual Class (SPVC) includes: - PDF course guide available to attendee during and after course - Lab environment where students can work through demonstrations and exercises at...
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This IBM Self-Paced Virtual Class (SPVC) includes:
- PDF course guide available to attendee during and after course
- Lab environment where students can work through demonstrations and exercises at their own pace
This course introduces you to two of the main types of modelling families of supervised Machine Learning: Regression and Classification. You start by learning how to train regression models to predict continuous outcomes and how to use error metrics to compare across different models. You then learn how to train predictive models to classify categorical outcomes and how to use error metrics to compare across different models. This course also walks you through best practices, including train and test splits, and regularization techniques. The hands-on section of this course focuses on using best practices for classification, including train and test splits, and handling data sets with unbalanced classes.
IBM Customers and Sellers: If you are interested in this course, consider purchasing it as part of one of these Individual or Enterprise Subscriptions:
By the end of this course you should be able to:
This course targets aspiring data scientists interested in acquiring hands-on experience with Supervised Machine Learning Regression and Classification techniques in a business setting.
To make the most out of this course, you should have familiarity with programming on a Python development environment, as well as fundamental understanding of Data Cleaning, Exploratory Data Analysis, Calculus, Linear Algebra, Probability, and Statistics.
1. Introduction to Supervised Machine Learning and Linear Regression
2. Data Splits and Cross Validation
3. Regression with Regularization Techniques: Ridge, LASSO, and Elastic Net
4. Logistic Regression
5. K Nearest Neighbors
6. Support Vector Machines
7. Decision Trees
8. Ensemble Models
9. Modeling Unbalanced Classes
Class hours may vary, please reach out to contact@ascendientlearning.com if you have any questions.
Classes typically include a 1-hour lunch break around midday. However, the exact break times and duration can vary depending on the specific class. Your instructor will provide detailed information at the start of the course.
Most courses are conducted in English, unless otherwise specified. Some courses will have the word "FRENCH" marked in red beside the scheduled date(s) indicating the language of instruction.
GTR stands for Guaranteed to Run; if you see a course with this status, it means this event is confirmed to run. View our GTR page to see our full list of Guaranteed to Run courses.
We have training locations across the United States and Canada - View a complete list of classroom training locations.
At Ascendient Learning, we offer training that is Instructor-Led, Online, Virtual, and Self-Paced.
Yes, we provide training for groups, individuals and private on sites. View our group training page for more information.
As a vendor-authorized training partner, we offer a curriculum that our partners have vetted. We use the same course materials and facilitate the same labs as our vendor-delivered training. These courses are considered the gold standard and, as such, are priced accordingly.
It depends on your requirements, your role in your company, and your depth of knowledge. The good news about many of our learning paths, you can start from the fundamentals to highly specialized training.
We continuously work with our vendors to evaluate and refresh course material to reflect the latest training courses and best practices.
Ascendient Learning instructors have an average of 27 years of practical IT experience and have also served as consultants for an average of 15 years. To stay current, instructors spend at least 25 percent of their time learning new, emerging technologies and courses.
Lab access is dependent on the vendor and the type of training you sign up for. However, many of our top vendors will provide lab access to students to test and practice. The course description will specify lab access.
We will work with you to identify training needs and areas of growth. We offer a variety of training methods, such as private group training, on-site of your choice, and virtually. We provide courses and certifications that are aligned with your business goals.
Getting started on a certification pathway depends on your goals and the vendor you choose to get certified in. Many vendors offer entry-level IT certification to advanced IT certification that can boost your career. To get access to certification vouchers and discounts, please contact info@ascendientlearning.com.
You will get access to the PDF of course books and guides, but access to the recording and slides will depend on the vendor and type of training you receive.
View our filing status and how to request a W9.
I was very pleased with the course setup by ExitCertified and the instructor.
my experince was great from the day i regetered to the actuall day of the class.
Instructor was great, course was mostly very good except for too much focus on pricing
The tool provided to practice the course teachings is very functional and easy to use.
The exit certified aws course provided a good introduction to the tools available on aws.
Ascendient Learning is the coming together of three highly respected brands; Accelebrate, ExitCertified, and Web Age Solutions - renowned for their training expertise - to form one company committed to providing excellence in outcomes-based technical training.
With our winning team, we provide a full suite of customizable training to help organizations and teams upskill, reskill, and meet the growing demand for technical development because we believe that when talent meets drive, individuals rise, and businesses thrive.