Infant Vector Vector Vector Vector Vector Vector

GitHub Repo https://github.com/Muhammed-Imran/Regression-Models

Muhammed-Imran/Regression-Models

The data of 193 countries for 22 variables such as HIV, infant mortality, Education, health index....has been taken to run multiple machine learning models in Python\ Jupiter Notebook such as Lasso regression, Neural Networks, Support Vector Machine etc., to predict the Life Expectancy. Also evaluation metric for different models has been taken to analyze the performance of models.

GitHub Repo https://github.com/anaritagomes/infant_cry_classifier

anaritagomes/infant_cry_classifier

Deep Learning model combining Support Vector Machine (SVM) and Multi-Layer Perceptron (MLP) architectures to classify baby cries using audio data from the "Donate a Cry Corpus" dataset.

GitHub Repo https://github.com/tamaraceranic/Support-Vector-Machines-SVM-with-quantitative-features-EEG-qEEG-

tamaraceranic/Support-Vector-Machines-SVM-with-quantitative-features-EEG-qEEG-

ML competition Classification of Abnormal EEG Background Activity in Newborn Infants

GitHub Repo https://github.com/7arnav1/Hierarchical-clustering

7arnav1/Hierarchical-clustering

Created a clustering app to analyze socioeconomic data from various countries. • Represented countries with feature vectors based on population, net migration, GDP, literacy, phone usage, and infant mortality. • Visualized clustering with dendrograms, providing insights into socioeconomic similarities.

GitHub Repo https://github.com/kstopa/project-infant

kstopa/project-infant

A simple project to object recognition based on vectorized images

GitHub Repo https://github.com/shivakumar0/major-project

shivakumar0/major-project

It is vital to detect heart attacks in infants under CICU care because prompt intervention leads to better results in survival rates. The research establishes a comprehensive analysis of Support Vector Machines (SVM) within Cardiac Machine Learning Models (CMLM).