📊Analyse de données

Build a model serving API

Serve ML models via REST API

Compare multiple classifiers

Find the best model for a classification task

Create data quality checks

Validate data quality in pipelines

Design an A/B test report

Report A/B test results

Engineer date features

Extract features from datetime columns

Create distribution comparison plots

Compare feature distributions

Set up model monitoring

Monitor production models

Build a stacking ensemble

Build ensemble models

Build an ML training pipeline

Automate ML training pipelines

Implement shadow deployment

Safely deploy new ML models

Analyze time series data

Explore time series datasets

Containerize an ML model

Package ML models for deployment