Training > AI/Machine Learning > Machine Learning & AI Introduction (RXM402)
INSTRUCTOR-LED COURSE

Machine Learning & AI Introduction (RXM402)

Harness the power of data with modern machine learning tools and techniques. In this one-day course, you will gain hands-on experience with machine learning libraries and toolkits such as Pandas, NumPy, Seaborn and scikit-learn. 

Key Benefits for You:

✔ Live, instructor-led hands-on labs
✔ Develop, tune, and test machine learning models
✔ Build models with AI and machine learning

How will this course benefit me?

  • Harness the Power of Data
  • Gain Competitive ML Skills
  • Demonstrate Your AI Skills to Others
  • Advance Your Career

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How is this ML course unique?
This course is lab heavy and provides hands-on experience with a variety of ML libraries and toolkits.
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Who can benefit from this course?
Developers. Data Engineers, IT and QA Staff. Technical Managers. DevOps Engineers. Analysts. Project Managers and more!
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Course Outline
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Module 1: AI/Machine Learning Overview and Data Processing
- Lab: Setting up a Machine Learning Environment and Processing Data with NumPy and Pandas
Module 2: Data Visualization
- Lab: Visualizing Data with Seaborn and Matplotlib
Module 3: Machine Learning Models
- Lab: Building Models with scikit-learn
Module 4: Hyperparameter Tuning
- Labs: Hyperparmeter Tuning with Optuna
Prerequisites
Participants should have basic programming skills (preferably in Python), a foundational understanding of
mathematics and statistics, some experience with data analysis.
About this Course
The Linux Foundation has partnered with the AI/ML experts at rx-m to offer this course to the community.
$695
Dates don't work? Check out our partner schedule
100% Money Back Guarantee
Includes
Live Online (Virtual) or Live (Classroom)
1 day of Instructor-led class time
Hands-on Labs
Resources
Certificate of Completion
Experience Level: Intermediate
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How To Register Someone Other Than YourselfInstructions