including deep learning, machine learning and others

regression evaluation of two series, for accuracy and similarity, typically using y_true and y_pred.

multivariable forecasting using fbprophet

test methods in statsmodels.tsa.holtwinters

statistical evaluation metrics of different times series

To find the optimal balance turnover days for all of single products under each supplier in the current certain state.

test regression models and methods in pycaret and scikit-learn.

optimizing gas injection allocation for gas wells block

If two series have different values in some index, this program will give new values in these different points dynamically based on their deviation.

suppose these two series are subject to normal distribution or uniform distritution, and could be decomposed into level, trend, seasonality and error items..

Via TIanTian Fund, TongHuaShun iFund, and Alipay, to collect funds data, and through feature engineering to sort funds, and to form weights of chosen dunds

If any two one-dimension data like pd.Series have some distinction or deviation, for example, prediction time series and actual time series, this function can make compensation to this difference b…

weights in front of each item change in this way: geometry progression or algorithm progression

two quickest local optimizations and one quickest optimization in scipy for loss function of linear least square