Predict your Medical insurance cost!
-
Updated
Aug 24, 2024 - Jupyter Notebook
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
Machine Learning Software that predicts planets based on their distance from the sun, number of satellites and various properties
Plot tree based machine learning models
Recursive Partitioning for Structural Equation Models
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
PUBG- PlayerUnknown's BattleGrounds (PUBG)
An R package for Private Evaporative Cooling feature selection and classification with Relief-F and Random Forests
Analytics Vidhya Hackathon
Stock Price Prediction using Random Forest
Lung Cancer Prediction using Machine Learning Algorithms
TFG realizado en la Universidad de Burgos del desarrollo de una aplicación para el uso de un Radar de 60 GHz de la marca Acconeer.
This project aims to tackle this problem by developing a system that can effectively detect fake news using machine learning techniques.
Add a description, image, and links to the randomforest topic page so that developers can more easily learn about it.
To associate your repository with the randomforest topic, visit your repo's landing page and select "manage topics."