randomforest

Predict your Medical insurance cost!

A repository for a machine learning project about developing a hybrid movie recommender system.

A machine learning project to predict NCAA Men's Basketball outcomes

Naive Bayesian, SVM, Random Forest Classifier, and Deeplearing (LSTM) on top of Keras and wod2vec TF-IDF were used respectively in SMS classification

🌲 broom helpers for decision tree methods (rpart, randomForest, and more!) 🌲

A Unified Framework for Random Forest Prediction Error Estimation

Web App and Random Forest - Loan Approval Prediction

Lung Cancer Prediction using Machine Learning Algorithms

Recursive Partitioning for Structural Equation Models

Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties

The 2020 Spring Great Lakes Water Resources II adapted the Wetland Extent Tool (WET) to create WET 2.0, which is a tool with a Graphical User Interface (GUI) that automates wetland classification for the entire Great Lakes Basin using Sentinel-1 C-SAR, Landsat 8 OLI, Sentinel-2 MSI, and Dynamic Surface Water Extent (DSWE).

Fraud detection using lgb, catboost, rf, etc

CLI tool for testing Office documents with macros using MaliciousMacroBot

Plot tree based machine learning models

Apache Spark machine learning project using pyspark

PUBG- PlayerUnknown's BattleGrounds (PUBG)

Stock Price Prediction using Random Forest

An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests

This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.

The system demonstrates how hash length-extension attacks work on electronic contracts, how Simulated Annealing (metaheuristic optimization) is used to guess secret key lengths, and how a Random Forest ML classifier detects forged contract payloads — all through a dark-themed interactive security dashboard.