GitHub

StatsPAI: Agent-Native Causal Inference & Econometrics Toolkit for Python

StatsPAI is a validation-tiered Python library for causal inference and applied econometrics. One import, 1,000+ registered functions across 80+ submodules (live count: python ...
Nature

Developing a hybrid machine learning model to predict treatment time duration as a workflow regulation tool in public and private dental clinics

This study aimed to design a desktop application that implements machine learning algorithms to predict dental treatment time durations, assess the accuracy of the model, and assess its clinical ...
LinkedIn

Building a Predictive Model using Python

Are you interested in learning how to create a predictive model using Python? In this blog, we'll walk you through the basics of model creation, using a step-by-step approach that's perfect for ...
Frontiers

Hybrid attribute-based recommender system for personalized e-learning with emphasis on cold start problem

This article introduces a recommendation system that merges a knowledge-based (attribute-based) approach with collaborative filtering, specifically addressing the challenges of the pure-cold start ...
Nature

Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort

Well-being is generally defined as a multidimensional concept encompassing not only the absence of negative aspects (such as illness or distress) but also the presence of positive elements, including ...
Frontiers

Adaptive restraint design for a diverse population through machine learning

Using population-based simulations and machine-learning algorithms to develop an adaptive restraint system that accounts for occupant anthropometry variations to further enhance safety balance ...
holisticai

Using Python to Mitigate Bias and Discrimination in Machine Learning Models

Machine learning models can be used in critical applications, such as hiring processes, the judicial system, credit scoring, or facial recognition systems. In these cases, it is essential to ensure ...
Scientific Research Publishing

Mueller, J.P. and Massaron, L. (2016) Machine Learning for Dummies. John Wiley et Sons, Hoboken.

ABSTRACT: Large amount of data has been generated by Organizations. Different Analytical Tools are being used to handle such kind of data by Data Scientists. There are many tools available for Data ...
Scientific Research Publishing

Prediction of Accident Severity Using Artificial Neural Network: A Comparison of Analytical Capabilities between Python and R ()

1 Department of Electronics, Computing and Mathematics, University of Derby, Derby, UK. 2 Department of Computer Science and Intelligent Systems, Iwate University, Morioka, Japan. 3 BAC International ...