| sql-machine-learning/sqlflow |
4,682 |
|
0 |
1 |
about 3 years ago |
1 |
November 19, 2019 |
250 |
apache-2.0 |
Go |
| Brings SQL and AI together. |
| spotify/scio |
2,505 |
|
0 |
37 |
about 2 years ago |
96 |
November 21, 2023 |
142 |
apache-2.0 |
Scala |
| A Scala API for Apache Beam and Google Cloud Dataflow. |
| GoogleCloudPlatform/bigquery-oreilly-book |
447 |
|
0 |
0 |
almost 3 years ago |
0 |
|
2 |
apache-2.0 |
Jupyter Notebook |
| Source code accompanying: BigQuery: The Definitive Guide by Lakshmanan & Tigani to be published by O'Reilly Media |
| machine-learning-apps/Issue-Label-Bot |
313 |
|
0 |
0 |
about 4 years ago |
0 |
|
2 |
mit |
SCSS |
| Code For The Issue Label Bot, an App that automatically labels issues using machine learning, available on the GitHub Marketplace. This is also code for the blog article: "How to automate tasks on GitHub with machine learning for fun and profit" |
| HariSekhon/SQL-scripts |
291 |
|
0 |
0 |
over 2 years ago |
0 |
|
2 |
mit |
Shell |
| 100+ SQL Scripts - PostgreSQL, MySQL, Google BigQuery, MariaDB, AWS Athena. DevOps / DBA / Analytics / performance engineering. Google BigQuery ML machine learning classification. |
| thinkingmachines/geomancer |
194 |
|
0 |
0 |
about 5 years ago |
4 |
May 06, 2019 |
13 |
mit |
Python |
| Automated feature engineering for geospatial data |
| GoogleCloudPlatform/fraudfinder |
164 |
|
0 |
0 |
about 2 years ago |
0 |
|
5 |
apache-2.0 |
Jupyter Notebook |
| Fraudfinder: A comprehensive lab series on how to build a real-time fraud detection system on Google Cloud |
| omnata-labs/dbt-ml-preprocessing |
162 |
|
0 |
0 |
almost 3 years ago |
0 |
|
8 |
mit |
Python |
| A SQL port of python's scikit-learn preprocessing module, provided as cross-database dbt macros. |
| GoogleCloudPlatform/analytics-componentized-patterns |
142 |
|
0 |
0 |
over 3 years ago |
0 |
|
6 |
apache-2.0 |
Jupyter Notebook |
| GoogleCloudPlatform/tensorflow-lifetime-value |
140 |
|
0 |
0 |
almost 4 years ago |
0 |
|
9 |
apache-2.0 |
Jupyter Notebook |
| Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library. |
