Fortunately, today’s data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis.
DurationFortunately, today’s data science methods are more practical and accessible than ever. The open-source R environment provides a straightforward yet incredibly powerful toolbox for performing useful predictive modeling and deep analysis.
This hands-on machine learning course advances your data analysis skills into the realm of real-world data science. If you have a working familiarity with R, our three-day class equips you to go back to work with real-world predictive modeling and basic machine learning techniques.
You will work in R to lay your data science foundation and learn techniques that allow you to leverage your data in sophisticated, powerful new ways.
For a detailed course outline, please email or call us.
Audience
Intermediate-level data analysts are interested in expanding their data mining processes. We emphasize data foundation and machine learning concepts.
Established in 2004, headquartered in Toronto, Ontario, Canada, ACRA has helped thousands of learners in all areas of IT every year.
Our delivery platform included instructor-led, virtual, and e-learning. We offer open enrollment into public offerings, on-site custom course development, and tailoring of existing courseware.
Our curriculum is also endorsed by the Project Management Institute, the International Institute for Business Analysis, and aligned with the ScrumAlliance, SAFe, and Scrum.org certifications.
Knowledge of Excel, SQL, Python, and/or R, as well as statistics and probability, is crucial for you to be successful in this course.
This is aworkshop that is a prerequisite for the Lip Blush Class, Eyeliner Class and Power, Ombre, Nano Brow Class
In the first part of this machine learning course, students get started in machine learning by implementing powerful supervised learning algorithms in Python using its allied packages, providing limited theoretical concepts and practical awareness of important learning algorithms.
This course bundle will provide you with a foundation of practical knowledge on artificial intelligence (AI) and machine learning. You will begin with the science behind AI computer systems, which can perform tasks that typically require human intelligence, and AI ethics, applications, and more.
Explore Python's core fundamentals, essential for effective data exploration, using Jupyter notebooks.
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