Grasp Information Preparation for H2O Driverless AI

Course Overview:

Be taught to make use of H2O’s highly effective Driverless AI software successfully for information preparation, a pivotal step within the machine studying pipeline. This complete course is designed to empower you with the data and abilities wanted to sort out real-world information challenges and improve your predictive modeling capabilities. With H2O.ai College at your facet, you’ll achieve insights into finest practices for information preparation that can set the inspiration for profitable AI mannequin deployment.

Why Enroll in Information Prep for H2O Driverless AI?

• Knowledgeable Instruction: Led by Jonathan Farinella, Options Engineer at H2O, an professional within the area with a wealth of data to share.
• Palms-On Studying: Achieve sensible expertise with real-world datasets and see firsthand apply information preparation strategies utilizing Driverless AI.
• Ability Mastery: From the fundamentals to superior ideas, this course is designed to solidify your understanding of information preparation for each tabular and time sequence information.
• Certification Pathway: This course is a part of the H2O.ai College certification program, verifying your experience to potential employers or purchasers.

Course Construction:

This course is meticulously structured into two principal sections:

Part 1: Fundamentals of Information Preparation for Machine Studying

• The Function of Information High quality: Be taught why high-quality information is essential for profitable machine studying outcomes.
• Tabular Information and Machine Studying: Discover the significance of tabular datasets in classical machine studying, and perceive how they differ from time sequence information.
• Supervised vs. Unsupervised Studying: Become familiar with the variations and customary strategies like classification and regression.
• Unit of Evaluation and Dataset Development: Perceive why defining the unit of research is important when establishing your datasets.
• Information Preparation Demonstrations in Driverless AI: Witness dwell demonstrations showcasing automate preprocessing duties utilizing Driverless AI, with the choice to customise your workflow by way of Python code.

Part 2: Time Sequence Information Preparation and Finest Practices

• Time Sequence Fundamentals: Delve into the important thing elements of time sequence information, together with the important function of a date column and understanding autoregressive parts.
• Dealing with A number of Sequence in Datasets: Learn to successfully deal with datasets with a number of time sequence.
• Enhancing Mannequin Efficiency: Obtain finest practices for making ready your datasets to enhance the efficiency of predictive fashions.
• Custom-made Methods in Driverless AI: Jonathan will information you thru dataset preparation, splitting strategies, and distinctive approaches tailor-made particularly for time sequence evaluation utilizing Driverless AI.

What You Will Be taught:

Perceive the important function information high quality performs in your predictive modeling success.
Grasp the artwork of making ready tabular information for machine studying duties.
Grasp the nuances and finest practices for dealing with time sequence information.
Develop customizable information preparation workflows inside Driverless AI utilizing Python code.
Improve your fashions’ efficiency by successfully preprocessing datasets.

Able to Dive Into Information Preparation with H2O Driverless AI?

Be a part of us on this enlightening journey and remodel the best way you method information preparation. Whether or not you’re an information scientist, analyst, or just desirous to be taught extra about machine studying, this course will offer you the instruments and data that you must succeed. Join at present and take your first step in direction of mastering information preparation for H2O Driverless AI!