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H2O Driverless AI Starter Course
Highest Rated
Rating: 4.5 out of 5(48 ratings)
3,099 students

H2O Driverless AI Starter Course

Master AutoML with H2O Driverless AI: Data Preprocessing, Visualization, Model Optimization, and Practical Applications
Highest Rated
Created byH2O.ai University, Andreea Turcu
Last updated 7/2024
English

What you'll learn

  • Understand the fundamental principles of automated machine learning (AutoML) with H2O Driverless AI.
  • Learn to preprocess, visualize, and analyze data for improved decision-making.
  • Develop skills in creating and fine-tuning AutoML models to optimize performance.
  • Gain hands-on experience in configuring experiments, interpreting results, and generating reports.

Course content

8 sections • 36 lectures • 2h 13m total length

  • DAI Starter Course - Class Intro2:25

    Start your learning journey with an engaging introduction to the "Driverless AI Starter Course" . Understand the goals and objectives of the course and get ready to explore the exciting world of automated machine learning.

  • What is Driverless AI?3:48
  • Problem Types2:34

Requirements

  • No prior programming or machine learning experience is needed. The course is designed to be accessible to beginners.
  • Basic familiarity with data handling and statistics will be helpful but not necessary.

Description

Join Andreea Turcu, our Head of Global Training, as she guides you through the “Driverless AI Starter Course” by H2O ai. Dive into automated machine learning (AutoML) using H2O Driverless AI. This course is suitable for all levels and will provide you with the necessary skills to apply AutoML in your projects.

You’ll learn the basics of H2O Driverless AI, including setup, data import, and interface navigation. The course offers hands-on experience in data preprocessing, visualization, and analysis, preparing you for machine learning model development.

The course covers advanced topics like correlation graphs, prediction creation, and model performance optimization. You’ll learn to hyper-tune models, manage experiments, interpret results, and generate reports. Practical tasks are included for real-world practice.

Upon completion, you’ll not only be proficient in using H2O Driverless AI for AutoML but also gain skills in setting up environments, analyzing data, and utilizing advanced features like custom recipe creation and model fine-tuning. This course goes beyond theory, offering practical skills that can be applied in the real world. Additionally, you’ll be eligible for the H2O Driverless AI Certification. This certification is a testament to your proficiency and can significantly enhance your career prospects in the fields of AI and data science.

Enroll now to master automated machine learning with H2O Driverless AI.

Who this course is for:

  • Beginners interested in automated machine learning (AutoML) and data science.
  • Data professionals looking to enhance their machine learning workflows with advanced tools.
  • Analysts and business intelligence professionals aiming to leverage machine learning for data-driven decision-making.
  • Students and enthusiasts keen to explore the capabilities of H2O Driverless AI and obtain certification.

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