human detection system

A web application to display and predict market trends for certain stocks.

I developed a computer-aided detection system (CAD) using machine learning techniques, including Grayscale, Median filter, High-pass filter, Otsu's Thresholding Technique, and PCA Feature Extraction. The hybrid classifier (SVM-KNN) improved accuracy, and the system identifies brain tumors with 98% accuracy.

Breast cancer detection is a web application to detect breast cancer in women using parametric data. Backend is built using machine learning and Django. Bootstrap is used for frontend.

Medware is a Healthcare Assistance Website that includes a Disease Calculator on the basis of input symptoms. It also includes a medical Dashboard with Health Records and a consultation window.

This APP allows you to classify a Lansat-8 image with Random Forest, Cart or Svm with the best HyperParameters with and without texture

OSS Grand Developers Challenge project(tizen+ML)

An efficient method of seven-segment display location in industry

Support Vector Machine Classifier implmented in AngularJS 1.7.x

Predicting the response time analysis in my BTP project.

Breast Cancer Detection. This is a project based on Machine Learning. It is Full stack, created using Django [Python]. Used for detecting Breast Cancer from parametric data imported from sklearn.

Project Repository for EL9123 - Machine Learning

Support Vector Machine (SVM) a machine learning algorithm implemented from scratch.

Some test with machine learning algorithms, es6 modules and webpack.

A set of extensive TypeScript libraries designed for interacting with the Airchains Rollups (EVM, SVM, & CosmWasm) through JSON RPC API, along with utility functions.

SVM de um conjunto de dados de câncer de mama que gera uma probabilidade e categoriza novos pacientes.

A set of machine learning algorithms, packed as modules, ready to be used in your nodejs environment.