Soluto / python-flask-sklearn-docker-templateLinks
A simple example of python api for real time machine learning, using scikit-learn, Flask and Docker
☆136Updated last year
Alternatives and similar repositories for python-flask-sklearn-docker-template
Users that are interested in python-flask-sklearn-docker-template are comparing it to the libraries listed below
Sorting:
- Flask API for training and predicting using scikit learn models☆297Updated 2 years ago
- Deploy AutoML as a service using Flask☆226Updated 7 years ago
- Using Luigi to create a Machine Learning Pipeline using the Rossman Sales data from Kaggle☆33Updated 9 years ago
- Material for Talk at PyData Seattle 2017☆168Updated 7 years ago
- Materials for an online-course - "Practical XGBoost in Python"☆220Updated 8 years ago
- Tutorial repo for the article "ML in Production"☆30Updated 2 years ago
- Set of Machine Learning and Stochastic Optimazion tools based on Hadoop, Spark and Storm https://pkghosh.wordpress.com/☆177Updated last year
- Predict whether a loan will be repaid using automated feature engineering.☆63Updated last year
- a big loop that runs through all sklearn supervised models, as well as hyperparameter-selection via cross-validation☆36Updated 8 years ago
- PyCon SG 2016 - Customer Segmentation in Python☆56Updated 9 years ago
- Curated set of transformers that make your work with steppy faster and more effective☆22Updated 6 years ago
- autosklearn-zeroconf is a fully automated binary classifier. It is based on the AutoML challenge winner auto-sklearn. Give it a dataset w…☆170Updated 5 years ago
- A collection of demos showcasing automated feature engineering and machine learning in diverse use cases☆500Updated 2 years ago
- edaviz - Python library for Exploratory Data Analysis and Visualization in Jupyter Notebook or Jupyter Lab☆225Updated 5 years ago
- Code supporting Data Science articles at The Marketing Technologist, Floryn Tech Blog, and Pythom.nl☆71Updated 2 years ago
- Repository for a data science starter app using Flask, Angular and Docker. https://medium.com/@dvelsner/deploying-a-simple-machine-learni…☆88Updated 7 years ago
- ☆96Updated 5 years ago
- Churn Prediction with PySpark using MLlib and ML Packages☆57Updated 9 years ago
- Machine learning and process automation☆138Updated 2 years ago
- A simple Spark TDD example☆26Updated 7 years ago
- Guide on creating an API for serving your ML model☆67Updated 3 years ago
- personal blog☆107Updated 6 years ago
- RESTful API hosting xgboost model☆25Updated 7 years ago
- ☆155Updated 4 years ago
- MLFlow Spark Summit 2019 Presentation☆67Updated 6 years ago
- Default risk prediction for Home Credit competition - Fast, scalable and maintainable SQL-based feature engineering pipeline☆80Updated 6 years ago
- A general-purpose framework for solving problems with machine learning applied to predicting customer churn☆414Updated last year
- Build a flask app to server a machine learning model as a RESTful web service☆38Updated 7 years ago
- 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
- ☆26Updated 9 years ago