Frontiers

An Introduction to Machine Learning Approaches for Biomedical Research

Machine learning (ML) approaches are a collection of algorithms that attempt to extract patterns from data and to associate such patterns with discrete classes of samples in the data—e.g., given a ...
Scientific Research Publishing

Comparative Analysis of ML Models for Survival Prediction of Glioblastoma ()

1 Department of Biochemistry, Chemistry, and Geology, Minnesota State University, Mankato, Mankato, MN, USA. 2 Department of Computer Information Science, Minnesota ...
LinkedIn

Adventures in CRM Deduplication: Building an End-to-End Python Pipeline

Rather than manually pruning thousands of records or writing brittle one-off scripts, we embarked on a journey to build a Python-powered deduplication pipeline. We wanted a solution that could clean ...
Nature

RETRACTED ARTICLE: Comparative analysis of heart disease prediction using logistic regression, SVM, KNN, and random forest with cross-validation for improved accuracy

This primary research paper emphasizes cross-validation, where data samples are reshuffled in each iteration to form randomized subsets divided into n folds. This method improves model performance and ...
Scientific Research Publishing

Credit Score Classification Using Advanced Machine Learning: A Comprehensive Approach ()

1 Department of Computer Science, Rutgers University, New Brunswick, NJ, USA. 2 Department of Computer Science, Rochester Institute of Technology, Rochester, NY, USA. This paper presents a ...
Time Out

The best data science and Python classes for high school students

Thanks for subscribing! Look out for your first newsletter in your inbox soon! The best things in life are free. Sign up for our email to enjoy your city without spending a thing (as well as some ...
Nature

Development of machine learning models for predicting unfavorable functional outcomes from preoperative data in patients with chronic subdural hematomas

Chronic subdural hematoma (CSDH) often causes neurological deterioration and is treated with hematoma evacuation. This study aimed to assess the feasibility of various machine learning models to ...
Visual Studio Magazine

Regression Using a scikit MLPRegressor Neural Network

Dr. James McCaffrey of Microsoft Research uses a full-code, step-by-step demo to show how to predict the annual income of a person based on their sex, age, state where they live and political leaning.
Visual Studio Magazine

Logistic Regression Using the scikit Library

Dr. James McCaffrey of Microsoft Research says the main advantage of scikit is that it's easy to use (even though most classes have many constructor parameters). Logistic regression is a machine ...
LinkedIn

Label Prediction with Sklearn (and Pandas)

I've been experimenting with Python for a while now, and considering most things are now data-driven, why not make the most of my learning, say.. try to make a prediction of a dataset using Python? If ...