GitHub topics: random-forest-algorithm

Repositories

Nelson-Gon/manymodelr

Build and Tune Several Models

Language: R - Size: 3.23 MB - Last synced at: 14 days ago - Pushed at: 3 months ago - Stars: 2 - Forks: 3

This project aim to understanding the factors contributing to liver cirrhosis, analyzing its impact, and possibly predicting disease outcomes using machine learning. It might also explore survival analysis or risk stratification for liver cirrhosis patients.

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firatolcum/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.

Language: Jupyter Notebook - Size: 237 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 7 - Forks: 1

dileepkorade/Machine-Learning_Projects

Projects based on Machine Leaning

Language: Jupyter Notebook - Size: 1 MB - Last synced at: 10 months ago - Pushed at: almost 4 years ago - Stars: 2 - Forks: 0

PialGhosh2233/Liver_Cirrhosis_Prediction_using_Machine_Learning

Language: Jupyter Notebook - Size: 344 KB - Last synced at: 3 months ago - Pushed at: about 1 year ago - Stars: 2 - Forks: 1

Abdumajidhu/Classification-and-Regression-using-sklearn

Regression and Classification task with sklearn.

Language: Jupyter Notebook - Size: 41 KB - Last synced at: about 1 year ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

cs3244-group-14/ml-singapore

Analyse prior taxi geolocation and pricing data to predict future pricing

Language: Jupyter Notebook - Size: 277 KB - Last synced at: over 1 year ago - Pushed at: about 6 years ago - Stars: 1 - Forks: 3

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.

Language: Python - Size: 69.3 MB - Last synced at: over 1 year ago - Pushed at: over 6 years ago - Stars: 2 - Forks: 1

m-niemeyer/handwritten-digit-recognition-random-forest

This is an example for how handwritten digits can be learnt with random forests

Language: Jupyter Notebook - Size: 19 MB - Last synced at: almost 2 years ago - Pushed at: over 7 years ago - Stars: 0 - Forks: 1

lingzhenzhu/AI-Based-KOA-Diagnostication

This is my undergraduate capstone project

Language: R - Size: 139 KB - Last synced at: 9 months ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 2.04 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 1

QuyAnh2005/homemade-machine-learning

Understand and code some basic algorithms in machine learning from scratch

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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.

Language: Jupyter Notebook - Size: 5.26 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

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).

Language: Jupyter Notebook - Size: 202 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0

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.

Language: CSS - Size: 7.8 MB - Last synced at: about 2 years ago - Pushed at: almost 4 years ago - Stars: 7 - Forks: 4