Alternatives and similar repositories for luigi_rosmann_sales

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

• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• 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
• apinf / ml-rest
  REST API (and possible UI) for Machine Learning workflows
  ☆61Updated 6 years ago
• StephenElston / DataScience350
  Material for UW Extension Data Science 350
  ☆19Updated 7 years ago
• thomhopmans / pythom
  Code supporting Data Science articles at The Marketing Technologist, Floryn Tech Blog, and Pythom.nl
  ☆71Updated 2 years ago
• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 9 years ago
• Soluto / python-flask-sklearn-docker-template
  A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
  ☆136Updated 2 years ago
• gilbertfrancois / pydata2018-tagging
  ☆25Updated 7 years ago
• EricSchles / drifter_ml
  A machine learning testing framework for sklearn and pandas. The goal is to help folks assess whether things have changed over time.
  ☆104Updated 3 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• asifahmed90 / pyspark-ML-in-Colab
  Pyspark in Google Colab: A simple machine learning (Linear Regression) model
  ☆38Updated 6 years ago
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• dataquestio / analytics_pipeline
  Code to build a simple analytics data pipeline with Python
  ☆101Updated 8 years ago
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 2 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 years ago
• Speedml / speedml
  Speedml is a Python package to speed start machine learning projects.
  ☆211Updated 5 years ago
• jem1031 / pandas-pipelines-custom-transformers
  Material for Talk at PyData Seattle 2017
  ☆168Updated 7 years ago
• peopledoc / mlvtools-tutorial
  Tutorial for a new versioning Machine Learning pipeline
  ☆80Updated 4 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• Startupsci / data-science-notebooks
  Jupyter notebooks for learning Python and Data Science, companion to Data Science Solutions book.
  ☆37Updated 5 years ago
• bgweber / DS_Production
  ☆155Updated 5 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• crawles / automl_service
  Deploy AutoML as a service using Flask
  ☆226Updated 8 years ago
• binga / DataHackSummit_2017
  Apache Zeppelin notebooks for Recommendation Engines using Keras and Machine Learning on Apache Spark
  ☆32Updated 7 years ago
• karthikmswamy / TFTutorials
  Contains code for understanding TensorFlow workflow and basics
  ☆51Updated 7 years ago
• InsightDataLabs / ipython-notebooks
  ☆31Updated 10 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 7 years ago
• alteryx / predict-taxi-trip-duration
  Predict taxi trip duration based on historical trips using automated feature engineering
  ☆62Updated 5 years ago