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
  ☆76Updated last year
• xLaszlo / CQ4DS-notebook-sklearn-refactoring-exercise
  ☆30Updated 2 years ago
• ploomber / projects
  Sample projects using Ploomber.
  ☆86Updated last year
• franloza / coches-net-dashboard
  Sample project that use Dagster, dbt, DuckDB and Dash to visualize car and motorcycle Spanish market
  ☆57Updated 2 years ago
• maladeep / data-quality-checker
  Check the basic quality of any dataset
  ☆11Updated 3 years ago
• danielbeach / tinytimmy
  A simple and easy to use Data Quality (DQ) tool built with Python.
  ☆49Updated last year
• noahgift / databricks-zero-to-mlops
  ☆27Updated 2 years ago
• ponder-org / professional-pandas
  ☆15Updated last year
• mattharrison / effective_polars_book
  Code and materials for Effective Polars book
  ☆75Updated 11 months ago
• talkpython / nlp-with-python-and-spacy-course
  Course materials for our "Getting Started with NLP and spaCy" course at Talk Python
  ☆38Updated 2 weeks ago
• ssp-data / data-engineering-devops
  Full stack data engineering tools and infrastructure set-up
  ☆50Updated 4 years ago
• kvnkho / pydata-timeseries-forecasting
  Material for PyData NYC Tutorial on Large Scale Timeseries Forecasting
  ☆26Updated 2 years ago
• jeroenjanssens / python-polars-the-definitive-guide
  Scripts and datasets for the O'Reilly book Python Polars: The Definitive Guide
  ☆159Updated last month
• zzstoatzz / oreilly-workflow-orchestration
  ☆26Updated 2 years ago
• LinkedInLearning / data-pipeline-automation-with-github-actions-4503382
  This repo is for LinkedIn Learning course: Data Pipeline Automation with GitHub Actions
  ☆36Updated this week
• mlflow / recipes-examples
  Example repo to kickstart integration with mlflow recipes.
  ☆43Updated last month
• moj-analytical-services / dataengineeringutils3
  Fully unit tested utility functions for data engineering. Python 3 only.
  ☆15Updated 7 months ago
• StuffbyYuki / Python-Polars-Tips-and-Tricks
  ☆26Updated 6 months ago
• josephmachado / analytical_dp_with_sql
  Code for my "Efficient Data Processing in SQL" book.
  ☆56Updated 7 months ago
• sktime / sktime-tutorial-pydata-global-2022
  sktime - python toolbox for time series: pipelines and transformers
  ☆24Updated 2 years ago
• khuyentran1401 / prefect2-mlops-demo
  Demo on how to use Prefect 2 in an ML project
  ☆41Updated 2 years ago
• snowflakedb / snowflake-ml-python
  ☆50Updated this week
• petehunt / dagster-github-stars-example
  ☆17Updated 2 years 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
• RCdeWit / dtc-workshop
  Example project with a CNN to train a Pokémon type classifier, adapted for DTC workshop
  ☆34Updated last year
• danielbeach / DataEngineeringProjects
  Some example projects for Data Engineers to build, end-to-end.
  ☆28Updated last year
• outerbounds / dsbook
  Code samples for the Effective Data Science Infrastructure book
  ☆115Updated last year
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 2 years ago
• AnalyticsInsightsNinja / Python_TidyData
  How to use Python to understand data and transform the data into a tidy format ready to be used for modelling and visualisation.
  ☆37Updated 5 years ago
• josephmachado / cost_effective_data_pipelines
  Cost Efficient Data Pipelines with DuckDB
  ☆50Updated 7 months ago