Alternatives and similar repositories for webinar-containers

Users that are interested in webinar-containers are comparing it to the libraries listed below

• outerbounds / full-stack-ML-metaflow-tutorial
  It's all in the name
  ☆80Updated 2 years ago
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated 2 years ago
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆82Updated last year
• mlflow / recipes-examples
  Example repo to kickstart integration with mlflow recipes.
  ☆44Updated last week
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• noahgift / databricks-zero-to-mlops
  ☆28Updated 3 years ago
• talkpython / nlp-with-python-and-spacy-course
  Course materials for our "Getting Started with NLP and spaCy" course at Talk Python
  ☆39Updated 5 months ago
• khuyentran1401 / prefect2-mlops-demo
  Demo on how to use Prefect 2 in an ML project
  ☆41Updated 2 years ago
• lux-org / lux-binder
  Lux Binder Examples
  ☆33Updated 2 years ago
• FredaXin / eda_and_beyond
  Library of automation tools for EDA and modeling
  ☆27Updated 4 years ago
• danielbeach / tinytimmy
  A simple and easy to use Data Quality (DQ) tool built with Python.
  ☆50Updated last year
• AutoViML / pandas_dq
  Find data quality issues and clean your data in a single line of code with a Scikit-Learn compatible Transformer.
  ☆131Updated last year
• ponder-org / professional-pandas
  ☆15Updated last year
• RamiKrispin / vscode-python-uv-template
  A Python Environment Template for VScode with UV
  ☆68Updated last month
• eugeneyan / papermill-mlflow
  🧪 Simple data science experimentation & tracking with jupyter, papermill, and mlflow.
  ☆182Updated last year
• jeroenjanssens / python-polars-the-definitive-guide
  Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
  ☆250Updated 2 months ago
• zzstoatzz / oreilly-workflow-orchestration
  ☆27Updated 3 years ago
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆55Updated 4 years ago
• josephmachado / cost_effective_data_pipelines
  Cost Efficient Data Pipelines with DuckDB
  ☆56Updated 3 months ago
• DanilBaibak / ml-in-production
  The practical use-cases of how to make your Machine Learning Pipelines robust and reliable using Apache Airflow.
  ☆52Updated 2 years ago
• kedro-org / kedro-starters
  Templates for your Kedro projects.
  ☆77Updated 2 weeks ago
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆11Updated 4 years ago
• khuyentran1401 / reproducible-data-science
  Tutorials on creating a reproducible and maintainable data science project
  ☆146Updated 3 years ago
• maxhumber / DE4DS
  ⭕️ Data Engineering for Data Scientists
  ☆78Updated 2 years ago
• noahgift / mlflow-project-best-practices
  An example MLFlow project
  ☆48Updated 7 months ago
• tecton-ai / apply-workshop-2022
  ☆17Updated 3 years ago
• jwills / de4ml
  Supporting materials/code examples for my course in data engineering for machine learning.
  ☆38Updated 2 years ago
• franloza / coches-net-dashboard
  Sample project that use Dagster, dbt, DuckDB and Dash to visualize car and motorcycle Spanish market
  ☆57Updated 2 years ago
• mattharrison / Idiomatic-Pandas-Tutorial
  Pandas Training © MetaSnake 2022, CC BY-NC
  ☆18Updated 3 years ago