#计算机科学#Learn how to create reliable ML systems by testing code, data and models.
#计算机科学#Tutorial for implementing data validation in data science pipelines
How to evaluate the Quality of your Data with Great Expectations and Spark.
ELT Data Pipeline implementation in Data Warehousing environment
BirdiDQ leverages the power of the Python Great Expectations open-source library and combines it with the simplicity of natural language queries to effortlessly identify and report data quality issues...
Demo on Data Engineering using Great Expectations API
Ensuring data quality in an e-commerce data set using Great Expectations.
Examples
Self learning project using IMDb datasets
FastRide: NYC Taxi Trip Duration Prediction employs machine learning techniques to accurately predict the duration of taxi trips in New York City, helping transportation businesses optimize operations...