Random Forest is an ensemble machine learning algorithm used for classification and regression. It creates a collection of decision trees and combines their results to make a final prediction. The algorithm randomly selects features and samples, creating diverse trees that help reduce overfitting and improve the overall accuracy of the model.

Helps to predict the rent of a house in indian metro cities using a machine learning model called Random Forest Regression

i built this project for predicts the house prices using random forest algorithm

Using Machine Learning to predict the likelihood of a loan default using a loan data set obtainable from Kaggle. I employed Classification for the building the machine learning models as the target variables were binary, 0 and 1 representing no default and defaulted.

Predicting 2023 Rental Market Prices in the United States

Comparing the Logistic Regression Model and Random Forest Classifier

Machine through SKLearn

Predicting Survivability of Titanic Passenger

Using census data with a random forest, we will try to predict whether or not a person makes more than $50,000.

Realiza selecao de Beams com diferentes tecnicas

Use given data to create machine learning models to classify the risk level of given loans.

Supervised machine learning analysis using Random Forest Classifier and Logistic Regression to predict risk levels of given loans.

This project uses machine learning models to classify whether a job posting is fraudulent or not.

This repository contains a Python implementation of the Random Forest Regressor and Classifier. Random Forest is an ensemble learning method that combines multiple decision trees to make predictions. It is a powerful and widely used machine learning algorithm that can be applied to both regression and classification tasks.

The Loan Prediction project aims to determine whether a loan should be approved or rejected by considering various factors. It uses various machine learning algorithms to reach out the best result.

ExcelR_Assignment---Random-Forests---Assignment---15

Udemy Machine Learning project

Udemy Machine Learning project

Udemy Machine Learning project

Code for classifying the survival of passengers on the titanic based on the Kaggle dataset.