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This study explores the application of machine learning algorithms in predicting high-risk pregnancy among expectant mothers, aiming to construct an efficient predictive model to improve maternal ...

As part of my internship at Prodigy InfoTech, I completed Task 3, which involved an exciting project to analyze Bank Marketing data. In today's competitive business environment, understanding customer ...

This repository contains a Python script that builds, trains, and evaluates a machine learning model using the XGBoost classifier. The model is designed to predict the target column based on the other ...

In the world of email communication, spam detection plays a crucial role in filtering out unwanted messages. Machine learning models can be employed to automatically identify and classify emails as ...

Snowpark for Python gives data scientists a nice way to do DataFrame-style programming against the Snowflake data warehouse, including the ability to set up full-blown machine learning pipelines to ...

Estimation of cotton yield before harvest offers many benefits to breeding programs, researchers and producers. Remote sensing enables efficient and consistent estimation of cotton yields, as opposed ...

Automated species classification from 3D point clouds is still a challenge. It is, however, an important task for laser scanning-based forest inventory, ecosystem models, and to support forest ...

Identifying cell types in multicellular organisms and understanding the relationships between them has been a major aim of biological research since the discovery of cells by Robert Hooke almost 400 ...

Spatially explicit observations of organisms are fundamental to ecological research. Environmental DNA (eDNA) is increasingly used for biomonitoring, but comprehensive tests of the spatial scale(s) at ...