pyladiesams / bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
6 week-long Python hands-on MLOps Bootcamp following a real-life industry scenario.
☆31Updated last week
Alternatives and similar repositories for bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021
Users that are interested in bootcamp-bringing-ML-models-into-production-intermediary-jun-aug2021 are comparing it to the libraries listed below
Sorting:
- ☆34Updated 3 months ago
- Slides for "Feature engineering for time series forecasting" talk☆61Updated 2 years ago
- Customer Base Analysis with Recurrent Neural Networks☆18Updated 3 years ago
- Repository for the book Simplifying Machine Learning with PyCaret.☆66Updated 2 years ago
- Cleaning Data for Effective Data Science, published by Packt☆98Updated 2 years ago
- ☆11Updated 2 years ago
- Code for the book Analytical Skills for AI and Data Science☆47Updated 5 years ago
- Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting☆26Updated 2 years ago
- Source Code for 'Applied Data Science Using PySpark' by Ramcharan Kakarla, Sundar Krishnan, and Sridhar Alla☆46Updated 3 years ago
- An end-to-end project on customer segmentation☆81Updated 2 years ago
- Added repo for PyData LA 2018 tutorial☆88Updated 6 years ago
- ☆7Updated 6 years ago
- Notebooks/scripts for youtube tutorials☆63Updated 10 months ago
- sktime - python toolbox for time series: pipelines and transformers☆24Updated 2 years ago
- ☆27Updated 5 years ago
- A collection of machine learning examples and tutorials.☆31Updated 7 years ago
- ☆32Updated 11 months ago
- ☆11Updated 2 years ago
- ☆12Updated 11 months ago
- Berlin Time Series Analysis Repository☆99Updated 2 years ago
- It's all in the name☆77Updated last year
- Forecasting: Principles and Practice☆59Updated 3 years ago
- Example Repo for the Udemy Course "Deployment of Machine Learning Models"☆20Updated 5 years ago
- ☆28Updated last year
- Pandas Training © MetaSnake 2022, CC BY-NC☆18Updated 3 years ago
- Demo repository implementing an end-to-end MLOps workflow on Databricks, using Azure DevOps for CICD orchestration. Project derived from …☆29Updated 2 years ago
- ☆27Updated 3 years ago
- Check the basic quality of any dataset☆11Updated 3 years ago
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated this week
- A series of Jupyter notebooks that walk you through Machine Learning with Apache Spark ecosystem using Spark MLlib, PyTorch and TensorFlo…☆82Updated last year