Alternatives and similar repositories for luigi_rosmann_sales

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

• 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
• thomhopmans / pythom
  Code supporting Data Science articles at The Marketing Technologist, Floryn Tech Blog, and Pythom.nl
  ☆71Updated 2 years ago
• thedataincubator / DS30_4
  Brian Farris' Talk on Reinforcement Learning and Multi-Armed Bandits for the Data Incubator
  ☆30Updated 7 years ago
• algobeans / Time-Series-Forecasting
  Code to 1) scrap wikipedia page view counts, and to 2) conduct time series analysis with GAM
  ☆47Updated 8 years ago
• saturncloud / saturn-cloud-examples
  ☆19Updated 4 years ago
• ContentSquare / ml-in-prod
  Tutorial repo for the article "ML in Production"
  ☆30Updated 2 years ago
• thedataincubator / pydata2016
  A couple projects using scikit-learn illustrating project decision making.
  ☆15Updated 9 years ago
• amueller / talks_odt
  Slides and materials for most of my talks by year
  ☆92Updated 2 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
• klemag / PyconUS_2019-model-interpretability-tutorial
  Content for the Model Interpretability Tutorial at Pycon US 2019
  ☆41Updated last year
• jrzaurin / ml-pipeline
  Using Kafka-Python to illustrate a ML production pipeline
  ☆112Updated 3 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
• dwhitena / dockerized-DS-python
  A simple example of containerized data science with python and Docker.
  ☆51Updated 7 years ago
• shabazpatel / xgboost-model-api
  RESTful API hosting xgboost model
  ☆25Updated 8 years ago
• karthikmswamy / TFTutorials
  Contains code for understanding TensorFlow workflow and basics
  ☆51Updated 7 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 4 years ago
• weehyong / MLScore
  Know your ML Score based on Sculley's paper
  ☆34Updated 6 years ago
• mikepqr / serverless-for-data-scientists
  Code and notebooks for a talk given at PyBay, 2018-08-19
  ☆49Updated 4 years ago
• rdempsey / pyspark-for-data-processing
  Code for my presentation: Using PySpark to Process Boat Loads of Data
  ☆20Updated 8 years ago
• DistrictDataLabs / entity-resolution
  Tutorial code and data for the entity resolution workshops.
  ☆45Updated 10 years ago
• darenasc / auto-eda
  Automated Exploratory Data Analysis. Simplifying Data Exploration
  ☆36Updated 5 years ago
• rozester / LinkedIn-Comments-Analyzer
  Extracting LinkedIn comments from any post and export it to Excel file
  ☆23Updated 7 years ago
• FavioVazquez / ds-optimus
  How to do data science with Optimus, Spark and Python.
  ☆19Updated 6 years ago
• Ashton-Sidhu / aethos
  Automated Data Science and Machine Learning library to optimize workflow.
  ☆105Updated 2 years ago
• georgian-io-archive / automl_benchmark
  Distributed, large-scale, benchmarking framework for rigorous assessment of automatic machine learning repositories, projects, and librar…
  ☆30Updated 3 years ago
• MaartenGr / ML-API
  Guide on creating an API for serving your ML model
  ☆66Updated 3 years ago
• omegaml / omegaml
  MLOps simplified. One-stop AI delivery platform, all the features you need.
  ☆106Updated this week
• brohrer / cottonwood
  A flexible neural network framework for running experiments and trying ideas.
  ☆82Updated 5 years ago