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:
- 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.☆76Updated 2 years ago
- ☆86Updated 2 years ago
- ☆28Updated 3 years ago
- Machine Learning Engineering with MLflow, published by Packt☆115Updated 11 months ago
- A workshop with several modules to help learn Feast, an open-source feature store☆92Updated last week
- Essential PySpark for Scalable Data Analytics, published by Packt☆45Updated 2 years ago
- Data Engineering with Spark and Delta Lake☆101Updated 2 years ago
- An example MLFlow project☆48Updated 5 months ago
- Scaling Python Machine Learning☆46Updated last year
- Code samples for the Effective Data Science Infrastructure book☆115Updated 2 years ago
- Feast AWS guide using Redshift / Spectrum / DynamoDB to build a credit scoring model☆64Updated 3 years ago
- ☆16Updated 2 years ago
- Reference code base for ML Engineering, Manning Publications☆130Updated 3 years ago
- Supporting materials/code examples for my course in data engineering for machine learning.☆38Updated 2 years ago
- O'Reilly Katacoda☆56Updated 2 years ago
- Code for my "Efficient Data Processing in SQL" book.☆56Updated 10 months ago
- Spark and Delta Lake Workshop☆22Updated 3 years ago
- Template repo for kickstarting recipes for regression use case☆54Updated 6 months ago
- Deploy A/B testing infrastructure in a containerized microservice architecture for Machine Learning applications.☆40Updated 5 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…☆39Updated 4 years ago
- Source code for the MC technical blog post "Data Observability in Practice Using SQL"☆38Updated 11 months ago
- ☆40Updated 3 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 4 years ago
- Resources backing the Feast fraud tutorial on GCP☆14Updated 3 years ago
- Because its never late to start taking notes and 'public' it...☆59Updated 3 weeks ago
- Data Science Quick Tips Repository!☆47Updated last year
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆73Updated 3 years ago
- Companion repository for the book 'Delta Lake Up and Running'☆47Updated 2 months ago
- ☆23Updated 2 years ago