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.
☆86Updated 2 years ago
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☆131Updated 4 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
- Code repository for the "PySpark in Action" book☆209Updated 5 months ago
- An example MLFlow project☆49Updated 10 months ago
- ☆28Updated 3 years ago
- Machine Learning Engineering with MLflow, published by Packt☆117Updated 2 months ago
- ☆92Updated 2 years ago
- Data Engineering with Spark and Delta Lake☆104Updated 2 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Machine Learning Engineering with Python☆185Updated 2 months ago
- A workshop with several modules to help learn Feast, an open-source feature store☆93Updated 5 months ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- Scaling Python Machine Learning☆50Updated 2 years ago
- Data Science Quick Tips Repository!☆48Updated last year
- A repository for a PySpark Cookbook by Tomasz Drabas and Denny Lee☆60Updated 7 years ago
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆228Updated 3 years ago
- ⭕️ Data Engineering for Data Scientists☆78Updated 2 years ago
- O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian☆223Updated 2 years ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Apache Airflow Best Practices, published by Packt☆50Updated last year
- 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 …☆241Updated 5 years ago
- An example MLflow project☆277Updated last year
- 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
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆72Updated 3 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 10 months ago
- A Graduate Level Three Week Bootcamp on AWS☆57Updated 9 months ago
- Because its never late to start taking notes and 'public' it...☆61Updated 5 months ago
- Interactive Notebooks that support the book☆40Updated 5 years ago
- Accelerate Deep Learning Workloads with Amazon SageMaker, published by Packt☆17Updated 2 months ago