lpatruno / sagemaker-workshop-420Links
MLinProduction SageMaker workshop hosted in April 2020
☆15Updated 5 years ago
Alternatives and similar repositories for sagemaker-workshop-420
Users that are interested in sagemaker-workshop-420 are comparing it to the libraries listed below
Sorting:
- 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 four p…☆35Updated 5 years ago
- A code-based tutorial for production level data streaming with PySpark plus Optimus for data cleaning, Confluent Kafka, & Apache Drill u…☆26Updated 6 years ago
- Tutorial repo for the article "ML in Production"☆30Updated 2 years ago
- Articles on machine learning☆65Updated 3 years ago
- ☆26Updated 7 years ago
- Guide on creating an API for serving your ML model☆66Updated 3 years ago
- Code for machine learning workshop given to Sanger Systems group☆40Updated 9 years ago
- Know your ML Score based on Sculley's paper☆34Updated 6 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- ☆101Updated 7 years ago
- ☆155Updated 4 years ago
- PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.☆47Updated last year
- The goal of this repository is to detect the outliers for a dataset & see the impact of these outliers on predictive models☆23Updated 7 years ago
- ☆40Updated 8 years ago
- Slides and materials for most of my talks by year☆92Updated last year
- Content for the Model Interpretability Tutorial at Pycon US 2019☆41Updated 11 months ago
- Using Kafka-Python to illustrate a ML production pipeline☆112Updated 2 years ago
- Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM☆47Updated 7 years ago
- ☆16Updated 2 years ago
- Forecasting Uber demand in NYC neighborhoods☆34Updated 7 years ago
- Project template for highly effective data science workflows☆29Updated last year
- Python Machine Learning (ML) project that demonstrates the archetypal ML workflow within a Jupyter notebook, with automated model deploym…☆62Updated 2 years ago
- A simple introduction to using spark ml pipelines☆26Updated 7 years ago
- Workshop for Spark and Databricks☆54Updated 5 years ago
- In the customer management lifecycle, customer churn refers to a decision made by the customer about ending the business relationship. It…☆60Updated 2 years ago
- MLFlow Spark Summit 2019 Presentation☆67Updated 6 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Automated Data Science and Machine Learning library to optimize workflow.☆104Updated 2 years ago
- Slides and code examples for H2O tutorials at various events☆56Updated 7 years ago