IEEE

Breast Cancer Prediction using a Stacked Ensemble of XGBoost and LightGBM with Logistic Regression Meta-Learning

Abstract: Breast cancer remains one of the major reasons for cancer deaths in women, which is why it is key to develop and improve diagnostic systems for accurate predictions. Currently, the advent of ...
GitHub

forecasting-seasonal-data-with-arima.py

behavior and use this model to produce forecasts.
GitHub

forecasting-from-time-series-data-using-arima.py

a sequence of data. So, applying first-order differencing amounts to subtracting the value at the current step from the value at the next step (t_i+1 - t_i ).
IEEE

Hybrid AI Models for Solar Forecasting: Bi-LSTM, LightGBM, Gaussian Process Regression

Abstract: Solar energy has become a significant factor in the country's swift transition to renewable energy aimed at reducing carbon emissions. Its integration with DC microgrids greatly facilitates ...