While wind energy forecasting has already undergone extensive research efforts, solar power forecasting is only recently witnessing an increased amount of attention. This paper proposes a multiple ...

numpy linear-regression exploratory-data-analysis pandas data-visualization seaborn data-analysis matplotlib datawrangling polynomial-regression model-evaluation model-development ...

To our knowledge, this is the first study to assess the co-occurrence of multiple climate-related health hazards at the global scale and with subannual time resolution. Our analysis provides a ...

Intelligent prediction of thyroid cancer in China based on GBD data and hospital electronic medical records: disease burden analysis combined with multiple machine learning models ...

In order to improve the accuracy of construction project cost budget, based on the previous research, this paper introduces the multiple linear analysis method, constructs a regression model, and uses ...