fastforwardlabs / cml_churn_demo_mlops
β16Updated 2 years ago
Alternatives and similar repositories for cml_churn_demo_mlops:
Users that are interested in cml_churn_demo_mlops are comparing it to the libraries listed below
- Repository used for Spark Trainingsβ53Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API πβ53Updated 3 years ago
- A simple introduction to using spark ml pipelinesβ26Updated 7 years ago
- A repository for a PySpark Cookbook by Tomasz Drabas and Denny Leeβ59Updated 6 years ago
- Example of orchestrating dependent Databricks jobs using Airflowβ11Updated 5 years ago
- PySpark phonetic and string matching algorithmsβ39Updated last year
- Mastering Spark for Data Science, published by Packtβ47Updated 2 years ago
- Contains source files used in the Spark with Python courseβ18Updated 6 years ago
- Workshop for Spark and Databricksβ54Updated 5 years ago
- Best practices for engineering ML pipelines.β35Updated 2 years ago
- Study notes and demos.β12Updated last year
- Business Data Analysis by HiPIC of CalStateLAβ20Updated 6 years ago
- Spark NLP for Streamlitβ15Updated 3 years ago
- Instant search for and access to many datasets in Pyspark.β34Updated 2 years ago
- Source code for the MC technical blog post "Data Observability in Practice Using SQL"β38Updated 9 months ago
- H2OAI Driverless AI Code Samples and Tutorialsβ37Updated 6 months ago
- β19Updated 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 four pβ¦β39Updated 4 years ago
- Spark and Delta Lake Workshopβ22Updated 2 years ago
- Data validation library for PySpark 3.0.0β33Updated 2 years ago
- Projects developed by Domino's R&D teamβ76Updated 3 years ago
- A code-based tutorial for production level data streaming with PySpark plus Optimus for data cleaning, Confluent Kafka, & Apache Drill uβ¦β26Updated 5 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 pβ¦β35Updated 4 years ago
- Code for my presentation: Using PySpark to Process Boat Loads of Dataβ20Updated 7 years ago
- AWS Big Data Certificationβ25Updated 3 months ago
- Repo for all my code on the articles I post on mediumβ107Updated 2 years ago
- A series of workshop modules introducing Feast feature store.β19Updated 2 years ago
- Source code for the post Effortless deployments with MLFlow, showcasing how logging models using MLFLow can provide you want to easily deβ¦β16Updated last year
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFloβ¦β81Updated last year
- Data Science Quick Tips Repository!β47Updated last year