Data Preparation for Machine Learning
This course focuses on the fundamentals of preparing data for machine learning using Databricks. Participants will learn essential skills for exploring, cleaning, and organizing data tailored for traditional machine learning applications. Key topics include data visualization, feature engineering, and optimal feature storage strategies. Through practical exercises, participants will gain hands-on experience in efficiently preparing data sets for machine learning within the Databricks. This course is designed for associate-level data scientists and machine learning practitioners. and individuals seeking to enhance their proficiency in data preparation, ensuring a solid foundation for successful machine learning model deployment.
Languages Available: English | 日本語 | Português BR | 한국어
Familiarity with Databricks workspace and notebooks
Familiarity with Delta Lake and Lakehouse
Intermediate-level knowledge of Python
Outline
- Fundamentals of Data Preparation and Feature Engineering
- Data Imputation
- Data Encoding
- Data Standardization
- Feature Engineering Pipelines
- Introduction to Feature Store
- Feature Engineering with Feature Store
Upcoming Public Classes
Date | Time | Language | Price |
|---|---|---|---|
Aug 04 | 09 AM - 01 PM (Asia/Kolkata) | English | $750.00 |
Aug 13 | 01 PM - 05 PM (Australia/Sydney) | English | $750.00 |
Aug 14 | 01 PM - 05 PM (America/New_York) | English | $750.00 |
Aug 15 | 09 AM - 01 PM (Europe/London) | English | $750.00 |
Oct 01 | 09 AM - 01 PM (Europe/London) | English | $750.00 |
Oct 02 | 09 AM - 01 PM (Asia/Kolkata) | English | $750.00 |
Oct 03 | 09 AM - 01 PM (America/New_York) | English | $750.00 |
Public Class Registration
If your company has purchased success credits or has a learning subscription, please fill out the Training Request form. Otherwise, you can register below.
Private Class Request
If your company is interested in private training, please submit a request.
Registration options
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Comprehensive training offering for large scale customers that includes learning elements for every style of learning. Inquire with your account executive for details
