Alternatives and similar repositories for ge-sklearn-pipeline-example

Users that are interested in ge-sklearn-pipeline-example are comparing it to the libraries listed below

• jmwoloso / pychattr
  Python Channel Attribution (pychattr) - A Python implementation of the excellent R ChannelAttribution library
  ☆59Updated 3 years ago
• canyon289 / PyTestforDataScience_PyDataLA
  Pytest for Data Science Beginners
  ☆59Updated 7 years ago
• deliveryhero / pyconde2019-airflow-ml-workshop
  PyConDE & PyData Berlin 2019 Airflow Workshop: Airflow for machine learning pipelines.
  ☆47Updated 2 years ago
• alteryx / categorical_encoding
  Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library
  ☆51Updated 3 years ago
• htorrence / pytest_examples
  Reference package for unit tests
  ☆49Updated 7 years ago
• carlomazzaferro / scikit-hts-examples
  Example usage of scikit-hts
  ☆57Updated 3 years ago
• CollinRooney12 / htsprophet
  Hierarchical Time Series Forecasting using Prophet
  ☆144Updated 4 years ago
• klemag / pydataLDN_2019-maintainable-code-for-data-science
  ☆47Updated 6 years ago
• joelcthomas / modeldrift
  Capturing model drift and handling its response - Example webinar
  ☆108Updated 6 years ago
• Bergvca / pyspark_dist_explore
  Data Exploration in PySpark made easy - Pyspark_dist_explore provides methods to get fast insights in your Spark DataFrames.
  ☆102Updated 6 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• AlexIoannides / pymc-example-project
  Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
  ☆105Updated 6 years ago
• juanitorduz / ml_prod_tutorial
  Explore tips and tricks to deploy machine learning models with Docker.
  ☆13Updated 2 years ago
• tklouie / PyData_LA_2018
  Added repo for PyData LA 2018 tutorial
  ☆88Updated 6 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• nicolasfauchereau / Auckland_Cycling
  An analysis of cycling counts in Auckland in relation to the weather
  ☆88Updated 2 years ago
• ColtAllen / btyd
  Buy Till You Die and Customer Lifetime Value statistical models in Python.
  ☆117Updated last year
• mdh266 / AirflowETL
  Blog post on ETL pipelines with Airflow
  ☆24Updated last month
• EthanRosenthal / skits
  scikit-learn-inspired time series
  ☆200Updated last year
• carlomazzaferro / scikit-hts
  Hierarchical Time Series Forecasting with a familiar API
  ☆225Updated 2 years ago
• GoogleCloudPlatform / tensorflow-lifetime-value
  Predict customer lifetime value using AutoML Tables, or ML Engine with a TensorFlow neural network and the Lifetimes Python library.
  ☆169Updated last year
• tomaszdudek7 / airflow_project
  scaffold of Apache Airflow executing Docker containers
  ☆86Updated 2 years ago
• juanitorduz / btsa
  Berlin Time Series Analysis Repository
  ☆100Updated 2 years ago
• amesar / mlflow-fun
  MLflow samples - deprecated
  ☆22Updated 2 years ago
• etcrago / Tutorial-Arima-w-jeffrey-yau
  ☆98Updated 6 years ago
• BigDataRepublic / bdr-analytics-py
  Common data science and data engineering utilities to help us perform analytics. Our toolbox for data scientists, licensed under Apache-2…
  ☆30Updated 7 years ago
• ragulpr / wtte-rnn-examples
  Examples of implementations of WTTE-RNN
  ☆32Updated 7 years ago
• Vishwacorp / nyc_uber_forecasting
  Forecasting Uber demand in NYC neighborhoods
  ☆34Updated 7 years ago
• cbellei / abyes
  A Python package for Bayesian A/B Testing
  ☆61Updated 2 years ago
• bertilhatt / pydata_pres_small_sample
  Tutorial for PyData London 2019 on AB Test by cluster
  ☆13Updated 6 years ago