adipolak / ml-with-apache-sparkLinks
A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlow.
☆83Updated last year
Alternatives and similar repositories for ml-with-apache-spark
Users that are interested in ml-with-apache-spark are comparing it to the libraries listed below
Sorting:
- Reference code base for ML Engineering, Manning Publications☆130Updated 3 years ago
- Scaling Machine Learning in Three Week course in a collaboration with O'Reilly following the guidance of Adi Polak's book - Scaling Machi…☆23Updated 2 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 2 years ago
- ☆86Updated 2 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 5 years ago
- An example MLFlow project☆48Updated 6 months ago
- Machine Learning Engineering with MLflow, published by Packt☆115Updated last year
- Code repository for the "PySpark in Action" book☆204Updated last month
- Data Engineering with Spark and Delta Lake☆101Updated 2 years ago
- ☆28Updated 3 years ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆44Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆39Updated 4 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this three …☆240Updated 4 years ago
- A repository for a PySpark Cookbook by Tomasz Drabas and Denny Lee☆59Updated 7 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆92Updated last month
- Data Science Quick Tips Repository!☆48Updated last year
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated 2 years ago
- Developed a data pipeline to automate data warehouse ETL by building custom airflow operators that handle the extraction, transformation,…☆90Updated 3 years ago
- The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.☆52Updated 2 years ago
- Scaling Python Machine Learning☆46Updated last year
- ☆30Updated 2 years ago
- ⭕️ Data Engineering for Data Scientists☆77Updated 2 years ago
- An example MLflow project☆266Updated last year
- Duke MIDS: Data Engineering and DataOps Course☆67Updated 6 months ago
- ☆17Updated 2 years ago
- Example MLOps using BentoML & mlFlow☆38Updated 4 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆218Updated 2 years ago
- Partly lecture and partly a hands-on tutorial and workshop, this is a three part series on how to get started with MLflow. In this four p…☆35Updated 5 years ago
- O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian☆216Updated 2 years ago