There are 3 repositories under randomforest topic.
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
:evergreen_tree: broom helpers for decision tree methods (rpart, randomForest, and more!) :evergreen_tree:
A Unified Framework for Random Forest Prediction Error Estimation
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
Fraud detection using lgb, catboost, rf, etc
PUBG- PlayerUnknown's BattleGrounds (PUBG)
CLI tool for testing Office documents with macros using MaliciousMacroBot
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).
Web App and Random Forest - Loan Approval Prediction
Analytics Vidhya Hackathon
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.
Prediction of Customer Churn using Spark Mllib
Detecting phishing website using machine learning
Stock Price Prediction using Random Forest
Welcome to the Machine Learning Algorithms Implementation repository! This repository focuses on practical implementations of various regression algorithms using Python
A predictive model that leverages classification models such as Random Forest and Naive Bayes to predict customer churn
Classification of various products into different categories is a very important task. Doing this classification, one can get various types of insights about the specific product. This also helps in doing product matching when you try and search a product on a eCommerce site.
This project is the application of machine learning algorithms to predict bioactivity of IC50 type molecules on SARS Coronavirus (Replicase polyprotein 1ab single-protein database).
Random Forest Binary Classification is applying on sample data in PySpark on Jupyter Notebook
Use Seattle's public energy data and build a model predicting energy consumption
Analysis and Prediction of Customer Lifetime Value using R.The insights were then compiled into a report using R markdown.
Random Forest algorithm
Syndrome Prediction Helps to predict the disease through analysing group of symptoms
A framework of python to do general machie learning using sk-learn, numpy, matplotlib and pandas
This repository contains a Flask application for detecting phishing URLs using machine learning. It includes preprocessing, feature extraction, model training, and model deployment in a web application.
This a complete end to end machine learning project for prediction price of used cars
For our final project, our group chose to use a dataset (from Kaggle) that contained medical transcriptions and the respective medical specialties (4998 datapoints). We chose to implement multiple supervised classification machine learning models - after heavily working on the corpora - to see if we were able to correctly classify the medical specialty based on the transcription text.
Code release for "Flood Extent Mapping During Hurricane Florence With Repeat-Pass L-Band UAVSAR Images"
Wine Quality Checker Prediction Model is Random Forest machine learning model which helps to check quality of wine is good or bad on the basis of aspects given in the dataset (which is given )
🔍 Discover the future of healthcare with our Lung Cancer Detection Project. Using advanced machine learning techniques, we've achieved 92% accuracy in identifying lung cancer. Join us at the forefront of medical AI. 👩⚕️🌟 #AIHealthcare #LungCancerDetection