RamiKrispin / pydata-ny-ga-workshop
Materials for the Deploy and Monitor ML Pipelines with Python, Docker and GitHub Actions workshop at the PyData NYC 2024 conference
☆81Updated this week
Alternatives and similar repositories for pydata-ny-ga-workshop:
Users that are interested in pydata-ny-ga-workshop are comparing it to the libraries listed below
- A Python Environment Template for VScode with UV☆57Updated 2 months ago
- Materials for the AI Dev 2024 conference workshop "Deploy and Monitor ML Pipelines with Python, Open Source, and Free Applications"☆93Updated this week
- (WIP) Getting started with Docker - An introduction to Docker with data science and engineering applications☆129Updated last year
- Slides for "Feature engineering for time series forecasting" talk☆59Updated 2 years ago
- The Orange Book of Machine Learning☆39Updated last month
- Forecasting: Principles and Practice☆59Updated 3 years ago
- summarytools in jupyter notebook☆107Updated 8 months ago
- Berlin Time Series Analysis Repository☆99Updated 2 years ago
- An example of a project for doing data work in Python using notebooks but also placing code in Python files and testing them☆99Updated last year
- ☆34Updated 2 months ago
- Materials for the useR!2024 conference workshop "Deploy and Monitor ML Pipelines with R, Open Source, and Free Applications"☆56Updated this week
- Calendar heatmaps with matplotlib☆72Updated this week
- This repo is for LinkedIn Learning course: Data Pipeline Automation with GitHub Actions☆40Updated this week
- Resources for some of our education content☆41Updated 2 months ago
- Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.☆130Updated last year
- Code and materials for Effective Polars book☆79Updated last year
- Data Analysis with Polars, Published by Packt☆32Updated 6 months ago
- This is the repository for the Python library mlsynth☆27Updated last week
- Python Feature Engineering Cookbook, Third Edition, published by Packt☆53Updated 8 months ago
- Resources for Survival Analysis☆93Updated 6 months ago
- Source for book "Feature Engineering A-Z"☆140Updated this week
- Forecasting at Scale☆12Updated last year
- An end-to-end tutorial to forecast the M5 dataset using feature engineering pipelines and gradient boosting.☆17Updated 2 years ago
- ☆80Updated 11 months ago
- Course materials for our "Getting Started with NLP and spaCy" course at Talk Python☆38Updated last month
- Applied Time Series Analysis and Forecasting☆166Updated 2 years ago
- Materials for the the Analyzing Time Series at Scale with Cluster Analysis in R Workshop☆19Updated last month
- Pandas Training © MetaSnake 2022, CC BY-NC☆18Updated 3 years ago
- ☆30Updated 2 years ago
- Python library for Applied Computational Supply Chain & Logistics. Unlock Neural Nets, Bayesian EOQ, Optimization, Time Series, and more …☆91Updated last week