Data Prep for H2O Driverless AI
Data Prep for H2O Driverless AI
Udemy Coupon Code for Data Prep for H2O Driverless AI Course. Learn to use Driverless AI for data preparation.
Created by H2O.ai University, Dinul Senanayake | 1 hour on-demand video course
Driverless AI Course Overview
Data Prep for H2O Driverless AI
This course, a component of H2O’s University’s certification program, aims to equip participants with the requisite skills to effectively utilize our H2O’s Driverless AI tool. Jonathan Farinela, Solutions Engineer at H2O, will emphasize the crucial role of data quality in achieving successful outcomes, while also elucidating the principles and procedures of data preparation.
The course is divided into two main sections:
In the initial section, participants will delve into the importance of the tabular format in classical machine learning. They will also grasp the distinction between supervised and unsupervised learning, along with common methodologies like classification and regression. The significance of defining the unit of analysis in dataset construction will be highlighted. Moreover, participants will witness demonstrations of data preparation within Driverless AI, showcasing its ability to automate preprocessing tasks and allow customization using Python code.
Transitioning to the second section, the course will concentrate on time series data preparation. Fundamental aspects of time series problems will be explored, including the necessity of a date column and understanding the autoregressive nature of such data. The course will also address challenges associated with handling multiple series within a dataset and provide best practices for improving model performance. Jonathan will exemplify dataset preparation and splitting techniques tailored for time series analysis using the capabilities of Driverless AI.
What you’ll learn
- Utilize Driverless AI for data preparation.
- Prepare data for classical machine learning.
- Construct datasets effectively.
- Prepare time series data for Driverless AI.
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This is a hands-on, project-based course designed to help you master the core building blocks of Python for data science. We’ll start by introducing the fields of data science and machine learning, discussing the difference between supervised and unsupervised learning, and reviewing the data science workflow we’ll be using throughout the Python Data Science: Data Prep & EDA with Python course.
Data Science and Machine Learning Platforms
Data Science and Machine Learning Platforms
Master Data Science Workflows with H2O: From Prep to Deployment & Generative AI with Michelle Tanco and Jon Farland! This Data Science and Machine Learning Platforms course equips you with H2O’s suite of cutting-edge tools, such as Driverless AI, H2O Actions, the Wave App, Gen AI AppStore, LLM DataStudio, H2O LLMStudio, Enterprise GPTe, h2oGPT, and Eval Studio.
Who this course is for
- Individuals seeking to leverage H2O’s Driverless AI.
- Beginners in Data Science or Machine Learning.
- Data Analysts or Scientists looking to improve their data preparation skills.
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