📊Analyse de données

Handle concept drift in models

Maintain model performance over time

Build a forecasting model

Forecast time series data

Analyze feature importance

Understand model feature importance

Implement cross-validation correctly

Avoid data leakage in evaluation

Evaluate a regression model

Evaluate regression model performance

Build a stacking ensemble

Build ensemble models

Tune hyperparameters with Optuna

Optimize model hyperparameters

Compare multiple classifiers

Find the best model for a classification task

Normalize features for deep learning

Prepare data for deep learning

Generate interaction features

Discover feature interactions

Build text features with NLP

Extract features from text data

Apply dimensionality reduction

Reduce high-dimensional data