This project leverages cutting-edge technologies like blockchain and machine learning to build trust and combat corruption in government systems. Secure Land Registry: Eliminates fraud with tamper-proof land ownership records. Automated Traffic & Challan System (using edge computing): Ensures transparency in traffic enforcement and reduces bribery

Learn random forest.

The data of the top 30 companies with the highest volume on the Istanbul Stock Exchange were trained with different artificial intelligence models and transformed into tables.

Protego browser extension captures URL and analyze it using machine learning model trained with Random Forest and Support Vector Machine.

machine learning for genomic variants

📱mern application for doctor appointment system along with AI tools 🩺

Mangrove Ecosystem Mapping Using Multisumber Images (Sentinel-2A and Sentinel-1) Using Cloud-Based Computing In Balikpapan Bay in 2019 and 2022.

The system uses spotify API to extract features from music and uses it to train the model in order to get real time music recommendation

This is a Google Earth Engine (GEE) code written in JavaScript. The code primarily focuses on processing Landsat satellite imagery for the year 1990, including cloud masking, calculating vegetation indices (NDVI and NDBI), and implementing a Random Forest classifier for land cover classification.

A lite chrome extension for detecting phishing sites using random forest classifier

Application to grade oral pre-cancer using ML on Histopathological images

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

Machine Learning project which predicts the revenue of a start-up and helps entrepreneurs take informed decisions.

Automating the prognosis of cancer in new patients and also survival prediction of existing cancer patients to see whether they fall into relapse or non-relapse and provide appropriate treatment. We have introduced a new idea , where an e-commerce application using micro services approach has been developed to track the purchases of the users an…

Statistical Methods in Artificial Intelligence course project on implementing the paper Music Genre Classification by Haggblade et al (http://cs229.stanford.edu/proj2011/HaggbladeHongKao-MusicGenreClassification.pdf)

🏭 JavaScript Machine Learning Toolkit

Pima Indian Diabetes via Kaggle. Fit classification models (logistic regression, knn, random forest, xgboost) to data.

A tool for visualizing the structure and performance of Random Forests 🌳

Spreadsheet Web App with Random Forest Imputation on the fly.