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.
☆87Updated 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:
- 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
- Reference code base for ML Engineering, Manning Publications☆135Updated 4 years ago
- Capturing model drift and handling its response - Example webinar☆108Updated 6 years ago
- ☆31Updated 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 three …☆241Updated 5 years ago
- Example repo to kickstart integration with mlflow pipelines.☆77Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆116Updated 2 years ago
- An example MLFlow project☆50Updated last year
- Machine Learning Engineering with MLflow, published by Packt☆122Updated last month
- 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
- Code repository for the "PySpark in Action" book☆211Updated 7 months ago
- Data Engineering with Spark and Delta Lake☆106Updated 3 years ago
- O'Reilly Book: [Data Algorithms with Spark] by Mahmoud Parsian☆227Updated 2 years ago
- ☆28Updated 3 years ago
- Example repo to kickstart integration with mlflow recipes.☆46Updated 6 months 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
- ☆95Updated 2 years ago
- A workshop with several modules to help learn Feast, an open-source feature store☆97Updated 2 months ago
- Scaling Python Machine Learning☆53Updated 2 years ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated last year
- Data Science Quick Tips Repository!☆48Updated last year
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 4 years ago
- Machine Learning Engineering with Python☆187Updated last month
- ⭕️ Data Engineering for Data Scientists☆78Updated 2 years ago
- Essential PySpark for Scalable Data Analytics, published by Packt☆46Updated 3 years ago
- Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop☆36Updated 2 years ago
- 🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.☆184Updated last year
- Construct a modern data stack and orchestration the workflows to create high quality data for analytics and ML applications.☆236Updated 3 years ago
- An example MLflow project☆285Updated last year
- Notes from our NLP reading club!☆18Updated 4 years ago