Popular GitHub Repositories for Random Forest Classifier

A machine learning web application use to predict chances of heart disease, built with FLASK and deployed on Heroku.

This is a Malware Detection ML model made using Random Forest Algorithm

Implementation of various machine learning algorithms to predict the disease from symptoms.

In the banking industry, detecting credit card fraud using machine learning is not just a trend; it is a necessity for banks, as they need to put proactive monitoring and fraud prevention mechanisms in place. Machine learning helps these institutions reduce time-consuming manual reviews, costly chargebacks and fees, and denial of legitimate transactions. Suppose you are part of the analytics team working on a fraud detection model and its cost-benefit analysis. You need to develop a machine learning model to detect fraudulent transactions based on the historical transactional data of customers with a pool of merchants.

Using Flower federated learning with scikit-learn random forest

Supplementary material for IEEE Services Computing paper 'An SRAM Optimized Approach for Constant Memory Consumption and Ultra-fast Execution of ML Classifiers on TinyML Hardware'

A machine learning model created with random forest classifier to show the probability and predict if an email is spam or non spam

Python application to detect and correct yoga poses in real time

A single-layer Random Forest model for pixel classification (image segmentation).

The objective of this project is to determine the risk of default that a client presents and assign a risk rating to each client. The risk rating will determine if the company will approve (or reject) the loan application

Machine Learning Prediction Software Based on Classification and Regression Based on Processor [CPU] Specifications

Supervised ML- Built a Multi-Class classification model to find the relation between features of a mobile phone(RAM, Internal Memory etc) and its selling price. Model will predict the price range indicating how high the price is.

Traffic Management Project - Understanding travel demand and travel patterns within the city.

Interface machine learning with Cosmology and General Theory of relativity to visually analyze the evolution of GRS 1915+105 Black hole X-ray binary using WATCH ASM data captured aboard GRANAT.

Prediciton of loads in data centers using Machine Learning (ML) Models

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

Python codes for administrative data (long term care) residents- Odds ratio-Logistic regression-ML models

A collection of few beginner-friendly AI-ML Projects in Python. Feel free to star and refer to for learning purposes!

NLP with LSTM for Sentiment Analysis of English texts

An Analysis of Lassa Fever Outbreaks in Nigeria using Machine Learning Models and Shapley Values