A DataCamp Machine Learning Project that predicts the best crop for a field using soil metrics through EDA, preprocessing, and classification models. - wncelrcn/Predictive-Modeling-for-Agriculture ...
A supervised machine learning (ML) regression study was performed to predict the tensile strength of COâ‚‚ laser-welded Hastelloy X joints using data from 27 ...
Predictive analytics allows data professionals to identify trends, forecast outcomes and test assumptions using data. When these capabilities are applied to simulation modeling, they make models more ...
The semiconductor industry, as always, is at the forefront of transformational technological innovation, driving escalating complexity of manufacturing processes that extend time-to-market delivery, ...
Researchers trained an XGBoost machine learning model to estimate the residual tensile strength of artificially aged silk ...
Thought LeaderDr. James McDonaghPrincipal Applied AI ScientistApconiX You have worked across the full drug development pipeline. How has that experience shaped your view of where AI can have the ...
Predictive maintenance using Python and machine learning to analyse machine sensor data and predict failures. - Vahid-8185/predictive-maintenance-analysis ...
Researchers trained an interpretable XGBoost model on biomechanical data from 204 male athletes to predict peak ACL force ...
Development and Validation of an 18F-Fluorodeoxyglucose Positron Emission Tomography-Computed Tomography–Based Imaging Score to Predict 12-Week Life Expectancy in Advanced Chemorefractory Colorectal ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results