📊Analyse de données

Compare multiple classifiers

Find the best model for a classification task

Build a stacking ensemble

Build ensemble models

Design an A/B test report

Report A/B test results

Build a model serving API

Serve ML models via REST API

Create data quality checks

Validate data quality in pipelines

Handle concept drift in models

Maintain model performance over time

Tune hyperparameters with Optuna

Optimize model hyperparameters

Build an ML training pipeline

Automate ML training pipelines

Translate technical metrics for stakeholders

Explain model metrics to business

Set up model monitoring

Monitor production models

Implement shadow deployment

Safely deploy new ML models

Write an ML experiment tracking setup

Track ML experiments with MLflow