Alternatives and similar repositories for RichterCompetition

Users that are interested in RichterCompetition are comparing it to the libraries listed below

• amyoshino / SONYC-Dash-App
  Interactive dashboard that show a decision support system to help DYCD/DOE’s award RFPs for the 2015 SONYC expansion.
  ☆39Updated 3 years ago
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆85Updated 3 years ago
• SohierDane / BigQuery_Helper
  Helper class to simplify common read-only BigQuery tasks.
  ☆110Updated 3 months ago
• thomhopmans / pythom
  Code supporting Data Science articles at The Marketing Technologist, Floryn Tech Blog, and Pythom.nl
  ☆71Updated 2 years ago
• Atreya22 / luigi_rosmann_sales
  Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle
  ☆33Updated 9 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• mdh266 / AirflowETL
  Blog post on ETL pipelines with Airflow
  ☆24Updated 5 months ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• dataquestio / analytics_pipeline
  Code to build a simple analytics data pipeline with Python
  ☆102Updated 8 years ago
• chandu-muthyala / Data-Engineer-Nano-Degree
  Data models, build data warehouses and data lakes, automate data pipelines, and worked with massive datasets.
  ☆13Updated 6 years ago
• Azure-Samples / MachineLearningSamples-ChurnPrediction
  MachineLearningSamples-ChurnPrediction
  ☆37Updated 6 years ago
• FavioVazquez / deep-learning-pyspark
  Deep Learning with Apache Spark and Deep Cognition
  ☆57Updated 7 years ago
• tdpetrou / integrating-pandas-with-scikit-learn
  Tutorial covering a new workflow available going from pandas to scikit-learn
  ☆40Updated 3 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• chrispaulca / waterfall
  An easy to use waterfall chart function for Python
  ☆164Updated 5 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 years ago
• monte-carlo-data / data-downtime-challenge
  ☆95Updated 2 years ago
• noahgift / pragmaticai
  [Book-2019] Pragmatic AI: An Introduction to Cloud-based Machine Learning
  ☆139Updated last year
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• docker-for-data-science / docker-for-data-science-tutorial
  Materials for "Docker for Data Science" tutorial presented at PyCon 2018 in Cleveland, OH
  ☆160Updated 5 years ago
• marcosmarxm / airflow-testing-ci-workflow
  (project & tutorial) dag pipeline tests + ci/cd setup
  ☆90Updated 5 years ago
• trallard / airflow-tutorial
  🐍💨 Airflow tutorial for PyCon 2019
  ☆88Updated 3 years ago
• kjam / data-pipelines-course
  Course materials for my data pipeline video course with O'Reilly
  ☆201Updated 8 years ago
• flavianh / dashboards-frameworks-comparison
  ☆77Updated 8 years ago
• GeorgeMcIntire / collection_free_DL_resources
  My exhaustive repo of free deep learning resources
  ☆50Updated 8 years ago
• EthicalML / state-of-mlops-2020
  ☆59Updated 4 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 5 years ago
• tkrabel / edaviz
  edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab
  ☆225Updated 6 years ago
• michaelchanwahyan / datalab
  ☆113Updated last year