random-forest-algorithm
There are 26 repositories under random-forest-algorithm topic.
YisongZou/Flask-Salary-Predictor-with-Random-Forest-Algorithm
In this project, we are going to use a random forest algorithm (or any other preferred algorithm) from scikit-learn library to help predict the salary based on your years of experience. We will use Flask as it is a very light web framework to handle the POST requests.
firatolcum/Clarusway_Machine_Learning_Course
This repository contains the Machine Learning lessons I took from the Clarusway Bootcamp between 10 Aug - 14 Sep 2022 and includes 17 sessions, 5 labs, 4 case studies, 5 weekly agendas, and 3 projects.
QuyAnh2005/homemade-machine-learning
Understand and code some basic algorithms in machine learning from scratch
coolnishant/Anomaly-Detection-Topology-Based
This project is about anomaly detection in social network, completely on network structure. We use random forest algorithm to train and test our classifier. Also, we are going to see how the effect of increase of trees in forest to the accuracy of prediction.
4khadija/Gold-Price-Prediction
Developed Random-Forest-based machine learning model to precisely predict gold prices, achieving 85% accuracy in testing conditions. Integrated large datasets to generate forecasts for near-term price fluctuations.
dileepkorade/Machine-Learning_Projects
Projects based on Machine Leaning
Nelson-Gon/manymodelr
Build and Tune Several Models
cs3244-group-14/ml-singapore
Analyse prior taxi geolocation and pricing data to predict future pricing
hasitha087/sparkChurnPrediction
This is spark/Scala based Mobile Telecommunication Customer Churn Prediction model developed using Random Forest algorithm
PrasanthDatascience/Integration-Position-Tracking-System-Miners-and--Climbers
This system enhances safety with real-time health and position tracking using temperature and heart rate sensors, GPS, LoRa communication, and the Random Forest algorithm. Technologies include NodeMCU, Peltier modules, and LCD displays.
Providence-Nate/RandomForests-PacMan
Design and Implementation of Random Forest algorithm from scratch to execute Pacman strategies and actions in a deterministic, fully observable Pacman Environment.
Abdumajidhu/Classification-and-Regression-using-sklearn
Regression and Classification task with sklearn.
awkepler/Machine_Learning_Adventure
Machine Learning algorithms. Generic code related to ML.
BhavyaTeja/ReviewsAnalysis_NLP
Analysis of the Restaurant reviews by using the Naive Bayes & the Random Forests Algorithms
handesarica/digital-addiction-analysis
Data analysis project on Digital Addiction for master thesis
PaulaSanches/TrainingModels
Laboratory with random forest, logistic regression and SVM. The dataset used for this test is a set of points generated randomly with the following specification: • Number of Samples: 1200 • Number of Classes: 3 • Number of Features: 2 (Length and Width).
RushiMayur/rush
Instagram Fake account detection ML model using SciKit Learn
singhgaurav2323/classifier
supervised machine learning classifier model
85599/HDFC-Stock-Model
This is a Machine Learning model developed with "Decision Trees Algorithm" and "Random Forest Algorithm" to predict the turnover of HDFC bank with a given dataset of the previous turnovers and features.
lingzhenzhu/AI-Based-KOA-Diagnostication
This is my undergraduate capstone project
m-niemeyer/handwritten-digit-recognition-random-forest
This is an example for how handwritten digits can be learnt with random forests
nishantdalvi05/Random-Forest
A Random Forest Algorithm is a supervised machine learning algorithm that is extremely popular and is used for Classification and Regression problems in Machine Learning. We know that a forest comprises numerous trees, and the more trees more it will be robust.
programandoconro/Titanic-survivors
Machine Learning competition on Kaggle.org: Random Forest algorithm and ensemble of algorithms to predict Titanic survivors. Top 8% rank