Visual Studio Magazine

Support Vector Regression with SGD Training Using C#

Support vector regression can predict numeric values effectively, and this article shows how to implement and train a kernel SVR model in C# using stochastic sub-gradient descent.
C&EN

Harnessing Advanced Machine-Learning Algorithms for Optimized Data Conditioning and Petrophysical Analysis of Heterogeneous, Thin Reservoirs

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Frontiers

Machine learning-based insurance risk assessment pipeline for natural disaster prediction and claims estimation

The rationale for using tree-based ensemble algorithms was that they generate nonlinear relationships and feature interactions. The models under test were a random Forest with 100 estimators and a ...
Frontiers

An explainable machine learning framework for sustainable supply chain performance assessment

Random Forest regressor is applied for estimating continuous Sustainability_Score, while XGBoost classifier is used for predicting categorical Sustainability_Class. These two models are trained ...
GitHub

Anshita project 3.ipynb

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...