Hongfan MuTime-series Forecasting with ML: Part 4 Time-series models and why choose them — XGBoost 1In the last chapter, we roughly discuss how to build the dataset with sliding windows. In reality, the informative expression of our…Jan 23Jan 23
Hongfan MuTime-series Forecasting with ML: Part 3 — How to label time-series data for ML&DL predictionWhen we first wanted to carry out time series forecast modeling, many people actually realized that we were predicting future indicators…Jan 121Jan 121
Hongfan MuTime-series Forecasting with ML: Part 2 — Time-series feature extraction for ML&DLIn the field of time series prediction, machine learning algorithms, such as gradient boosting tree framework (XGBoost, LightGBM), deep…Jan 11Jan 11
Hongfan MuTime-series Forecasting with ML: Part 1 — The understanding of time-series feature extractionCompared with other forecasting models, the expression of time-series features has a large impact on the performance of time-series model…Jan 10Jan 10