pplonski / data-drift-detection

Related projects ⓘ

Alternatives and complementary repositories for data-drift-detection

• Spratiher9 / SparkDataset
  Instant search for and access to many datasets in Pyspark.
  ☆34Updated 2 years ago
• alteryx / predict-household-poverty
  Predict the poverty of households in Costa Rica using automated feature engineering.
  ☆23Updated 4 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 3 years ago
• exploripy / exploripy
  Pre-Modelling Analysis of the data, by doing various exploratory data analysis and Statistical Test.
  ☆50Updated last year
• samarth-agrawal-86 / fast_ml
  ☆20Updated 10 months ago
• khuyentran1401 / prefect-docker
  Demo on how to use Prefect with Docker
  ☆26Updated 2 years ago
• elleobrien / automatic_testing
  ☆21Updated last year
• RobMulla / kaggle-ieee-fraud-detection
  IEEE-CIS Fraud Detection Kaggle Competition Code
  ☆9Updated 5 years ago
• Spratiher9 / Sparkora
  Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟
  ☆53Updated 2 years ago
• sicara / pycon-2022-dvc-streamlit
  PyCon Talks 2022 by Antoine Toubhans
  ☆23Updated 2 years ago
• alexcoca / DistributedKernelShap
  ☆12Updated 4 years ago
• fastforwardlabs / structural-time-series
  Structural Time Series on US electricity demand data
  ☆23Updated 3 years ago
• jcdaniel91 / data-science-python-dask
  Companion Notebooks and Data for Data Science with Python and Dask from Manning Publications
  ☆52Updated 4 years ago
• tonyleidong / OptimalFlow
  OptimalFlow is an omni-ensemble and scalable automated machine learning Python toolkit, which uses Pipeline Cluster Traversal Experiments…
  ☆27Updated 9 months ago
• ds-muzalevskiy / sagemaker-docker-deploy
  ☆18Updated 3 years ago
• mllite / sklearn_explain
  Model explanation provides the ability to interpret the effect of the predictors on the composition of an individual score.
  ☆13Updated 3 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆46Updated last year
• MaartenGr / UnitTesting
  Guide for applying Unit Testing in data-driven projects
  ☆19Updated 4 years ago
• FraPochetti / KagglePlaygrounds
  ☆33Updated 8 months ago
• AutoViML / lazytransform
  Automatically transform all categorical, date-time, NLP variables to numeric in a single line of code for any data set any size.
  ☆64Updated 9 months ago
• woobe / odsc_h2o_machine_learning
  Materials for Machine Learning with H2O Open Platform at ODSC Masterclass Summit 2017
  ☆12Updated 7 years ago
• nabsabraham / pandas-erd
  Source code for pandaserd package - create an ERD diagram using pandas dataframes.
  ☆15Updated 2 years ago
• mwinterde / mlflow-with-streamlit
  Simple demonstration of interactions between a streamlit app and the mlflow tracking api
  ☆22Updated 3 years ago
• dmatrix / feast_workshops
  A series of workshop modules introducing Feast feature store.
  ☆19Updated 2 years ago
• oegedijk / rule_estimator
  A scikit-learn compatible estimator based on business-rules with interactive dashboard included
  ☆28Updated 3 years ago
• mljar / mljar-examples
  Examples how MLJAR can be used
  ☆59Updated 11 months ago
• opeyemibami / TDD-in-MLOps
  This repo is an approach to TDD in machine learning model operation. it covers project structure, testing essentials using pytest with Gi…
  ☆14Updated 3 years ago
• alteryx / featuretools-tsfresh-primitives
  TSFresh primitives for featuretools
  ☆36Updated 2 years ago