aromain / intermarche_challengeLinks
[Intemarché] Sales forecasting challenge
☆11Updated 4 years ago
Alternatives and similar repositories for intermarche_challenge
Users that are interested in intermarche_challenge are comparing it to the libraries listed below
Sorting:
- The simplest way to deploy a machine learning model☆23Updated 2 years ago
- 4th place solution to datafactory challenge by Intermarché.☆12Updated 4 years ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆77Updated 2 years ago
- 🐍 Material for PyData Global 2021 Presentation: Effective Testing for Machine Learning Projects☆80Updated 3 years ago
- Train multi-task image, text, or ensemble (image + text) models☆45Updated last year
- Best practices for engineering ML pipelines.☆35Updated 3 years ago
- Materials for my 2021 NYU class on NLP and ML Systems (Master of Engineering).☆96Updated 2 years ago
- Helpers for scikit learn☆16Updated 2 years ago
- Powerful rapid automatic EDA and feature engineering library with a very easy to use API 🌟☆53Updated 3 years ago
- Library for Multi-objective optimization in Gradient Boosted Trees☆77Updated 10 months ago
- Hypergol is a Data Science/Machine Learning productivity toolkit to accelerate any projects into production with autogenerated code, stan…☆53Updated 2 years ago
- Gradient boosting on steroids☆28Updated last year
- Model Validation Toolkit is a collection of tools to assist with validating machine learning models prior to deploying them to production…☆29Updated last year
- Repository for the research and implementation of categorical encoding into a Featuretools-compatible Python library☆51Updated 2 years ago
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 3 years ago
- Exploring some issues related to churn☆16Updated last year
- Generating Training Data Made Easy☆43Updated 5 years ago
- A scikit-learn compatible estimator based on business-rules with interactive dashboard included☆28Updated 3 years ago
- 📊 Explain why metrics change by unpacking them☆39Updated this week
- A neural network hyper parameter tuner☆30Updated last year
- An efficient, to-the-point, and easy-to-use checklist to following when deploying an ML model into production.☆30Updated 2 years ago
- Pipeline components that support partial_fit.☆46Updated 11 months ago
- Multivariate Boosted TRee☆63Updated 2 years ago
- The fastai book, 2nd edition (in progress)☆55Updated last year
- ForML - A development framework and MLOps platform for the lifecycle management of data science projects☆107Updated 2 years ago
- A PaaS End-to-End ML Setup with Metaflow, Serverless and SageMaker.☆37Updated 4 years ago
- Strategies to deploy deep learning models☆27Updated 6 years ago
- SPEAR: Programmatically label and build training data quickly.☆107Updated last year
- ☆30Updated 3 years ago
- ☆20Updated last year