Example Workflows of Supervised Machine Learning on Time-series data?

[rfeigel]

Without knowing anything about your data or business case its hard offer specific suggestions. Look at this:

xgboost regression hyperparameter optimization

hi dear form users ı m new to knime platform. ı have a quaestions. ı want to predict by using xgboost parameters={ "learning_rate":[0.1,0.01,0.001], "n_estimators":range(100, 1200, 100), } xgb_model = xg.XGBRegressor(random_state=0) this is my pyhton code and ı m searc by GridSearch to hyperparameter . how can ı do this on knime ?

XGBoost For Time Series Forecasting: Don’t Use It Blindly