There are 0 repository under xboost topic.
To identify lithologies, geoscientists use subsurface data such as wireline logs and petrophysical data. However, this process is often tedious, repetitive, and time-consuming. This project aims to use machine learning techniques to predict lithology from petrophysical logs, which are direct indicators of lithology.
how to predict score credit to home credit indonesia with machine learning modeling, find more to Home Credit Indonesia
End-to-end project to predict basketball player points. (regression problem)
Proyecto de predicción de ventas para las proximas 6 semanas de todas las tiendas , con representación de datos, usando Python con librerías distintas como Pandas, Numpy,Matlab, Seaborn para análisis de datos, recopilación e interpretación de los datos, además de modelos predictivos.
XGBoost vasitəsilə neftin gələcək qiymətinin proqnozlaşdırılması layihəsi
Augmentation based on position applied to CRF and XGBOOST algorithms applied to african languages for POS task