課程資料
課程簡介
Master AutoML with H2O Driverless AI: Data Preprocessing, Visualization, Model Optimization, and Practical Applications
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.
課程章節
- 8 個章節
- 36 堂課
- 第 1 章 Introduction to Driverless AI
- 第 2 章 Getting Started with Driverless AI
- 第 3 章 Data Management and Exploration
- 第 4 章 Data Preparation and Prediction
- 第 5 章 Experiment Analysis and Interpretation
- 第 6 章 Advanced Analysis
- 第 7 章 Course Wrap-up
- 第 8 章 Course Completion Quiz
課程內容
- 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.
此課程所涵蓋的技能
評價
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KKithinji Charles
great
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TTara Maguire
It is very comprehensive and engaging so far.
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DDhanya M. Dhanalakshmy
I wish to explore the AutoML research area and this is the first course I landed upon. I am hoping to have a wonderful learning experience.