pandas 1.4.358, numpy 1.20.159, matplotlib 3.3.460, plotly 5.6.061, sklearn 1.1.162, mlxtend 0.20.063, and xgboost 1.6.164. Instead of using a simple one-shot feature selection technique that usually yields a sub-optimal solution, we used a two-step feature selection process that gener...
pandas 1.4.358, numpy 1.20.159, matplotlib 3.3.460, plotly 5.6.061, sklearn 1.1.162, mlxtend 0.20.063, and xgboost 1.6.164. Instead of using a simple one-shot feature selection technique that usually yields a sub-optimal solution, we used a two-step feature selection process that gener...
NumPy >=1.25.2,<2 Base N-dimensional array package SciPy >=1.11.2 Fundamental library for scientific computing Matplotlib >=3.7.2 Comprehensive 2D Plotting Pyproj >=3.6.1 Python interface to the PROJ.4 cartographic library Shapely >=2.0.1 Manipulation and analysis of planar GEOS geometries requi...