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GitHub topics: random-forest-classifier

Soumilgit/XYZ-Bank-Customer-Churn-Predictor

Modular full-stack ML project leveraging Groq API, Streamlit, Supabase, JSON, SciPy, SciKit-Learn, Plotly & EmailJS, alongside libraries - NumPy, Pandas, Utils, OS, Base64, Re, Pillow & DateTime.

Language: Jupyter Notebook - Size: 13.7 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 25 - Forks: 1

ghoumbadji/Analyzing-Customer-Churn-for-a-Telecom-Company

The project involves utilizing various machine learning techniques, both supervised and unsupervised, to detect customer churn and identify the key factors contributing to it.

Language: Jupyter Notebook - Size: 1.29 MB - Last synced at: about 7 hours ago - Pushed at: about 8 hours ago - Stars: 0 - Forks: 0

raiambreesh/Loan-Approval-Automation

Machine Learning Based Loan Approval Automation: Enhancing Efficiency, Accuracy, and Fairness in Credit Decision Making

Language: Python - Size: 17.6 KB - Last synced at: about 9 hours ago - Pushed at: about 11 hours ago - Stars: 0 - Forks: 0

nirmal2i43a5/Movie-Review-Sentiment-Predictive-Analysis

This project focuses on sentiment analysis of movie reviews using the IMDB dataset. The goal is to classify reviews as positive or negative using TF-IDF techniques and Word2Vec.

Language: Jupyter Notebook - Size: 24.9 MB - Last synced at: about 18 hours ago - Pushed at: about 20 hours ago - Stars: 0 - Forks: 0

MachineNeyarning/ClassifiersCommittee

Comitê de Classificadores | Projeto N1

Language: Jupyter Notebook - Size: 4.58 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 1 - Forks: 0

Venu5198/Proactive-fraud-detection-using-machine-learning

Proactive fraud detection with machine learning on synthetic PaySim data to predict fraudulent transactions using an end-to-end Python pipeline. 🐙

Language: Jupyter Notebook - Size: 752 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

qweryrr/Intro_to_Machine_Learning_Project

Intro to Machine Learning Project from TripleTen

Size: 1.95 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

Pentagonex/Titanic_KaggleDataset

A study of data from the Titanic - Machine Learning for Disaster dataset from Kaggle (https://www.kaggle.com/competitions/titanic/data), looking for patterns, behaviors, and information that may be useful. After that, a model is created trying to predict if each passenger of the Titanic survived or not

Size: 1.95 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 1

Shubhrajit2399/Penguin-Species-and-Sex-Recognition-Model

Predicting Species and Sex of Peguins by RandomForestClassification

Language: Jupyter Notebook - Size: 6.84 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

Amanyadav-07/Customer-Churn-Prediction

Machine Learning project to predict customer churn using Logistic Regression, Random Forest, and XGBoost. Includes data preprocessing, feature engineering, SMOTE balancing, model training, evaluation, and business insights.

Language: Jupyter Notebook - Size: 1.58 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Akshat-Patel-1/Premier-League-Predictor

I have made a comprehensive machine learning project that predicts Premier League match outcomes using historical data and advanced ML algorithms.

Language: Jupyter Notebook - Size: 388 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

MTimo27/f1-ai-strategist

Make Better Decisions than Ferrari: Building an AI Formula 1 Strategist

Language: Python - Size: 1.15 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Crazz-Zaac/informative-missingness

This project involves training classifiers (Random Forest, Gradient Boosting, CatBoost, XGBoost and Logistic Regression) on MIMIC-IV dataset to detect the presence of missingness of data within a certain interval. The full pipeline can be found in the README.

Language: Jupyter Notebook - Size: 31.9 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Aryan-Ghosh-Code/DripTect

DripTect – Smart Flood Prediction Made Simple! Using cutting-edge IoT sensors + AI models, it tracks rainfall, soil & weather in real-time. With live forecasts, risk alerts, and an interactive dashboard, DripTect helps communities stay safe, prepared & resilient.

Language: TypeScript - Size: 5.1 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 3

akshat281204/hydroponics-dashboard

A dashboard for our smart indoor hydroponics farming system which shows all the parameters that are being captured by the setup. Has a machine learning model and a deep learning model to observe the health of the growing plants.

Language: CSS - Size: 21.5 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

smadhale121/Diabetes-detection

Web application which can detect Diabetes using Machine Learning and Python, based on different parameters like Blood pressure, insulin, etc

Language: Python - Size: 13.7 KB - Last synced at: about 4 hours ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Vishnupriya-Navigator/SmallSatellites

AI testbed for mission-critical software optimization using telemetry, ML, and Bayesian tuning (SmallSat 2025)

Language: Python - Size: 666 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Chracker24/JEE_Dropout_ML_Project

🎓 Predicts JEE dropout risk using machine learning and provides GPT-powered, personalized advice — built for students, schools, and real-world impact.

Language: Jupyter Notebook - Size: 12.6 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 3 - Forks: 0

Dhyanesh18/hdfs-log-anomaly-kafka

An anomaly detection model for HDFS_v1 log dataset. Kafka to simulate real time data streaming and model retraining on new unseen data.

Language: Jupyter Notebook - Size: 52.7 KB - Last synced at: 5 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

Mattytomo365/Weekly-Sales-Machine-Learning-Models

This project contributed towards my AI and Machine Learning module at university, it predicts weekly sales for retail stores using machine learning models. It includes data preprocessing, feature engineering, and training/testing of models such as Random Forest and Gradient Boosting Regressors.

Language: Python - Size: 4.98 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

gayathriperi/Data-Analytics-Projects

Data Collection,Processing,EDA,visualization,application of machine learning to drive insights for given use case

Language: Jupyter Notebook - Size: 20.4 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

Sid-2004/Stock-Market-Predictor

Predicting the Stock Market using Logistic Regression and Random Forest Models along with Python

Language: Jupyter Notebook - Size: 142 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

nikolassefe/FakeNewsDetector

Fake News Detector: Classifies news headlines as real or fake using machine learning and NLP, with both CLI and GUI interfaces.

Language: Python - Size: 56.6 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

JmineSA/Telecom_Customer_Churn_Intelligence

Telecom Customer Churn Intelligence is a machine learning project that analyzes telecom customer data to predict which users are likely to stop using the service. By identifying the key factors that contribute to churn, applying SMOTE to handle class imbalance, and evaluating model performance with metrics .

Language: Jupyter Notebook - Size: 14 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 1 - Forks: 0

RutujaS-2110/Project_01_ML_Hemoglobin_Anemia_Diagnosis_Prevention

Hemoglobin-Anemia-Detection-Prevention-Treatment-Web App-Machine Learning_Random Forest

Language: Jupyter Notebook - Size: 593 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

javiermerinom/gene_expression_breast_cancer-classification-analysis

This project explores breast cancer classification and survival analysis using RNA-seq data from The Cancer Genome Atlas (TCGA-BRCA). The workflow includes differential expression analysis (DEA), dimensionality reduction, and machine learning models for tumor vs. normal classification, cancer stage prediction, and patient survival analysis.

Language: Jupyter Notebook - Size: 16.5 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

jan-janssen/gmailsorter

Similarity based email sorting for Google Mail using RandomForest classifiers

Language: Python - Size: 8.65 MB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 19 - Forks: 0

priyanka7411/customer-churn-prediction

Customer Churn Prediction using machine learning. This project covers the full data science lifecycle—data cleaning, exploratory analysis, feature engineering, model building, and extracting actionable business insights.

Language: Jupyter Notebook - Size: 590 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

narpat78/Proactive-Fraud-Detection

A Fraud detection project with Data Cleaning, Exploratory Data Analysis, Feature Engineering, and Modeling using Logistic Regression and Random Forest on a transaction data.

Language: Jupyter Notebook - Size: 197 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

SuryaAbyss/Earthquake-prediction-using-Machine-learning-models

In this project, we use historic earthquake data from California to build machine learning models that predict: 📍 The probability of an earthquake in a region 📊 Its possible magnitude

Language: Jupyter Notebook - Size: 4.86 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: 3 days ago - Pushed at: over 4 years ago - Stars: 392 - Forks: 196

AmimoOtieno/Loan-approval-automation

Machine Learning-Based Loan Approval Automation: Enhancing Efficiency, Accuracy, and Fairness in Credit Decision-Making

Language: Python - Size: 9.82 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

LeonardoStempfle/Trabalho-de-Conclusao-de-Curso-TCC

O repositório contém meu Trabalho de Conclusão de Curso: texto, script, bases de dados e a vizualiação de 3 imagens muito grandes para caber em uma página de PDF.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

MayanaFazil/Prdeiction_of_machine_failure

This project aims to predict the likelihood of machine failure using historical sensor and maintenance data. By leveraging supervised machine learning techniques, the model analyzes features such as temperature, pressure, vibration, and operational status to determine whether a machine is at risk of failure. The goal is to enable predictive mainten

Language: Jupyter Notebook - Size: 6.12 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

aliciagilmatute/Machine-Learning-supervised-

Proyectos de Aprendizaje Automático Supervisado

Language: Jupyter Notebook - Size: 529 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

x4nth055/emotion-recognition-using-speech

Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras

Language: Python - Size: 944 MB - Last synced at: 10 days ago - Pushed at: almost 2 years ago - Stars: 645 - Forks: 246

CrispenGari/ml-2023

💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.

Language: Jupyter Notebook - Size: 21.2 MB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

Zainudin07/Heart_Disease_Prediction

🔍 Predict heart disease risk easily with this machine learning app, leveraging health data for real-time assessments and visual insights.

Language: Jupyter Notebook - Size: 741 KB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

fidayuzida/rf-biofloc

IoT-based real-time monitoring and machine learning prediction system for biofloc catfish pond water quality. Built with ESP32, sensors (pH, temperature, turbidity), Firebase RTDB, Random Forest, Flask API, and web dashboard.

Language: HTML - Size: 910 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Snigdho8869/Machine-Learning-Deep-Learning-Projects

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow

Language: Jupyter Notebook - Size: 81.1 MB - Last synced at: 17 days ago - Pushed at: almost 2 years ago - Stars: 2 - Forks: 0

aliciagilmatute/Analisis-Fuga-Empleados

Proyecto de análisis de datos y machine learning para predecir el abandono de empleados, evaluar su impacto económico y proponer estrategias de retención basadas en visualización y modelos predictivos.

Language: Jupyter Notebook - Size: 805 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

ekrem-bas/Rice-Image-Classification

A project that classifies six different types of rice using Convolutional Neural Network (CNN) and Random Forest models, and compares their performance.

Language: Jupyter Notebook - Size: 3.95 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

kbzh2558/LLM_Emotion_Classification

Emotion Classification with LLMs

Language: Jupyter Notebook - Size: 87.4 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

Vaishnavi-vi/Classify_spotify_audio_genre_-

A machine learning project for automatic music genre classification using extracted audio features. The project compares multiple models — Logistic Regression, Decision Tree, Random Forest,XGBoost and ANN — and includes an interactive Streamlit app for real-time genre prediction.

Language: Jupyter Notebook - Size: 6.35 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

Nirva-Patel/Multi-Domain-Predictive-Analytics

This project focuses on training and testing machine learning models on multiple datasets to identify the best-performing model. It analyzes model behavior across data types using metrics like accuracy, precision, recall, and F1-score to determine the most effective configuration.

Language: Jupyter Notebook - Size: 954 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

avemurphy/Comparing_ML_Models

Comparing Machine Learning Models

Size: 549 KB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

RudolphMensah/ML_for_PDAC_Classification

🔍 Enhance pancreatic cancer detection and classification using advanced machine learning techniques on urinary biomarkers for improved accuracy.

Language: Jupyter Notebook - Size: 2.91 MB - Last synced at: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

deepakachyutha/Titanic-ML

This Titanic Survical Prediction project applies Supervised Machine Learning to predict passenger survival from the Titanic dataset. It focuses on practical data preprocessing, binary classification, and foundational model evaluation.

Language: Jupyter Notebook - Size: 470 KB - Last synced at: 20 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

UsmanShaikh24/Industry-Project-For-Onward-Technologies-Fleet-Maintainace-and-Analysis

Enterprise-Grade Predictive Maintenance Solution for Fleet Operations Powered by Advanced Machine Learning & Real-Time Analytics

Language: Python - Size: 18 MB - Last synced at: 16 days ago - Pushed at: 21 days ago - Stars: 1 - Forks: 2

ronverse17/Loan-Recovery-Strategy

End-to-end ML project for predicting high-risk borrowers and recommending recovery actions

Language: Jupyter Notebook - Size: 890 KB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

FrienDotJava/adult-census-income

A machine learning project classifying whether someone has income >$50K or <$50K using several models.

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: 21 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

Layonj3000/Libras-recognition

This project is a Brazilian Sign Language (LIBRAS) recognition system that utilizes computer vision and machine learning techniques.

Language: Python - Size: 24.1 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

SupratikB23/Poker-Hand-Prediction

A ML/DL project that predicts Poker Hand rankings based on given card combinations.

Language: Jupyter Notebook - Size: 7.85 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 1 - Forks: 0

ShubhamAIML/Heart-Disease-Prediction

A web-based Heart Disease Prediction Tool built with Python and machine learning.

Language: HTML - Size: 1.13 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

EgorSolovei/ML-in-nuclear-physics2

Дипломная работа физического факультета СПбГУ

Language: Jupyter Notebook - Size: 2.74 MB - Last synced at: 22 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Jorgeneves84/Healthcare-Data-Analysis-Project

📊 Analyze healthcare data to uncover insights and trends through effective data cleaning, transformation, and visualization techniques.

Language: Jupyter Notebook - Size: 3.71 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

skrdp700/Ecommerce-Product-Categorization

📊 Classify e-commerce products into accurate top and bottom categories using a robust machine learning pipeline for improved organization and searchability.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

shashiniyer/Once-a-DS-N00b

My first repo on GitHub, a portfolio of some data science projects I undertook

Language: Jupyter Notebook - Size: 1.6 GB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 1 - Forks: 0

Ziad-agamy/customer-churn-prediction

This project is an accurate and reliable classifier that predicts customer churn to assist in proactive customer retention strategies

Language: Jupyter Notebook - Size: 519 KB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

NourSaf/political-speech-detection

Political Speech Detection is a machine learning model trained on 1912 parliamentary speeches from both left and right wing parties from Germany. Using doc2vec NLP

Language: Jupyter Notebook - Size: 40.8 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

mzainxo/Phishing-email-detection-using-ML-and-NLP

A real-time phishing emails classification system on your email address.

Language: Jupyter Notebook - Size: 25 MB - Last synced at: 25 days ago - Pushed at: 26 days ago - Stars: 2 - Forks: 2

zach10w/IA-Classification-Analysis

This GitHub repository hosts my AI evaluation work, featuring a Kaggle dataset analysis, experiments with three ML algorithms (including hyperparameter tuning), and a detailed exploration of wine quality data through outlier detection, correlation, and normalization techniques.

Language: Jupyter Notebook - Size: 5.59 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

gamy703/titanic_machine_learning

Predicts Titanic passenger survival using machine learning (Logistic Regression, Decision Tree, and Random Forest). Analyzes factors like age, gender, and fare to identify key predictors.

Language: Python - Size: 1.55 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

yeboaheric/ml_heart_prediction_model_finals

This is a final year project web-based application that predicts the likelihood of heart disease using a Random Forest machine learning model. The system is designed to provide users with an easy-to-use interface to input clinical parameters and instantly receive prediction results.

Language: Python - Size: 69.3 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

atanu3000/insurance_premium_prediction

A supervised machine learning model classifies insurance premium based on user data(e.g. age, weight, height, salary, ocupation etc.) using RandomForest classifier algorithm. There is UI to take user inputs and processes it and send to the server (using FastApi) for prediction and returns response from pretrained model which shows in UI as result.

Language: Python - Size: 67.4 KB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 1

jadttheripper/Early-disease-diagnosis-

This was part of a research thesis I did during in the fall semester of my academic year where I Explored multiple approaches in using Artificial intelligence in the healthcare industry while focusing on early disease diagnosis.

Language: Jupyter Notebook - Size: 925 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

trimoyee-g/Adenovirus-Disease-Prediction

A machine learning project using scikit-learn to compare models for Adenovirus detection, selecting the most effective one based on accuracy, precision, and recall.

Language: Jupyter Notebook - Size: 1.51 MB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 0 - Forks: 0

AtharvaPatil-Data/Ecommerce-Product-Categorization

Hierarchical e‑commerce product categorization using TF‑IDF, SMOTE, and an LR/RF/LightGBM ensemble (top‑level) and Ridge (bottom‑level).

Language: Jupyter Notebook - Size: 2.73 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Keshav1516/credit_card_score_predictor

A machine learning project that predicts customer credit score categories based on financial and demographic data, using data preprocessing, EDA, and classification models for accurate creditworthiness assessment.

Language: Jupyter Notebook - Size: 397 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Pranshu-007/Customer-Churn-ML-Model

Model made to understand which customers can leave so that we can provide those customer with heavy discounts and keep them by our side.

Language: Jupyter Notebook - Size: 2.4 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Lavanya-25204/Loan-Predictor

Loan Predictor App

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MateusRestier/insight-invest

End-to-end automated stock analysis, forecasting, and recommendation system using web scraping, RandomForest models, PostgreSQL, and an interactive Dash/Plotly dashboard.

Language: Python - Size: 24.6 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

SaalimMaliksGH/crop-prediction

This project aims to address the challenge by developing a crop prediction model that leverages machine learning techniques to provide farmers with informed recommendations.

Language: Jupyter Notebook - Size: 2.84 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

chahelgupta/Hospital-Readmission-Prediction-and-Analysis

The Hospital Readmission Prediction project uses clinical data to predict diabetic readmissions. SVM + SMOTE achieved 61.16% accuracy, with key predictors including hospital stay, lab tests, and medications.

Language: Jupyter Notebook - Size: 1.91 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

shubhro2002/Credit-card-Fraud-Detection

This project focuses on building and comparing machine learning models to detect fraudulent transactions using a transaction dataset The goal is to explore different modeling techniques, handle data preprocessing, address (or not address) the class imbalance problem, and evaluate model performance to choose the best approach. Link to dataset below.

Language: Jupyter Notebook - Size: 200 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

DanielJ56/ColorectalCancerML

3 Machine Learning Models trained to predict distant progression in colorectal cancer patients received stereotactic body radiation therapy.

Language: Python - Size: 307 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ahmad-masud/Mednose

A machine learning-powered web app that predicts likely diseases based on selected symptoms

Language: Python - Size: 17.6 KB - Last synced at: about 18 hours ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

unfairlaw/brazilian_judicial_multi-label_classification

Dedicated to apply and develop techniques for multi-label classification and other machine learning techniques on Brazilian legal court orders

Language: Jupyter Notebook - Size: 614 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

DanteTrb/fall-risk-predictor

A fullstack AI-powered web application to assess fall risk in patients with Parkinson's Disease.

Language: Jupyter Notebook - Size: 226 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

fakework16/Car_price_prediction_ML

Predict car prices with our Machine Learning model. Input features like brand and year for accurate predictions. Explore the project on GitHub! 🐙

Language: Jupyter Notebook - Size: 608 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

amatov/DiseaseDetectionUrine

Language: R - Size: 2.97 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

LEADisDEAD/Model-Forge

A no-code ML model selection engine powered by Streamlit. Upload any CSV dataset, apply automated preprocessing, and evaluate multiple classification models side by side. Instantly view accuracy, precision, recall, and F1 scores — all without writing a single line of code.

Language: Python - Size: 616 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

gregspangenberg/shoulder

Landmark detection and humeral implant positioning with lightweight machine learning models.

Language: Python - Size: 113 MB - Last synced at: 23 days ago - Pushed at: 4 months ago - Stars: 5 - Forks: 1

desaiprasad1989/Random-Forest-Classifier

Random-Forest-Classifier with Ensemble Method Bagging and Boosting techniques (Random Forest Classifier, Bagging Classifier, ADABoosting Classifier, and XGBoost)

Language: Jupyter Notebook - Size: 1.26 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Shaileshahire06/Smart-Text-Classifier

This repository contains documentation for a machine learning project focused on classifying text messages as spam or ham. The project leverages classical ML algorithms such as Logistic Regression, Random Forest, and Multinomial Naive Bayes for predictive modeling.

Language: Jupyter Notebook - Size: 75.2 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MohamedMostafa010/ExeRay

ExeRay AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.

Language: Python - Size: 2.83 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 48 - Forks: 7

mannatsingla22/Customer_Churn_Prediction-Analysis-Project

Churn prediction using Python, SQL, and Power BI with 84% accuracy.

Language: Jupyter Notebook - Size: 541 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

dhruvakashyap73/GoldPriceIQ

A machine learning-based web application for predicting gold prices using economic indicators and historical data.

Language: Jupyter Notebook - Size: 7.86 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

anwitha-09/plastic-cover-mapping-geoai

Plastic-covered cropland detection using satellite imagery and stacking classifiers – FAO GeoAI 2024 Challenge.

Language: Jupyter Notebook - Size: 267 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MojeshSetty/Crop-Recommendation-System

Problem: Many Farmers are facing loses due to unstable changes in crop prices in future. So we came up with an ML Predictive model.

Language: HTML - Size: 1.21 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Ankur-krGarg/Predict-Stroke

Predicting stroke risk using real health data and ML classifiers like Random Forest and XGBoost.

Language: Jupyter Notebook - Size: 3.19 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

OkeLDF/MNIST-with-Flask

This is a web application that allows you to draw a digit and receive a classification of the written number. The dataset used was MNIST, with a Scikit-Learn RandomForestClassifier and an API built with Flask.

Language: Jupyter Notebook - Size: 21.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

shivapreetham/indian-sign-language-detection

Sign Language Assistant: A computer vision project for hearing-impaired communication, featuring real-time sign detection using MediaPipe and RandomForestClassifier, and voice-to-sign conversion with Google Speech Recognition. Supports 35 Indian Sign Language (ISL) gestures with GUI

Language: Python - Size: 2.41 GB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

jlindstrom13/ISB

Classifying clinical trials by trustworthiness using machine learning- quality control

Language: Python - Size: 42.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

hasn77/Rainfall-Prediction-Classifier

Rainfall Prediction Classifier for Australia using multiple classifier models.

Language: Python - Size: 117 KB - Last synced at: about 1 month ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

NandishN2/Churn-Analysis-and-Prediction

End-to-End Power BI Churn Prediction and Analysis using Random Forest Classifier

Language: Jupyter Notebook - Size: 381 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ReddammagariPratheekReddy/Agriculture-Crop-Recommendation-System-Demo

Designed and developed Agriculture crop recommendation system, an AI-powered interactive system for farmers where we have used random forest classification model, using HTML, CSS, JavaScript, and Python.

Language: JavaScript - Size: 770 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

AkashGupta2003/Credit_Card_Fraud_Detection

To analyse the credit card fraud and predict the Fraud Transaction

Language: Python - Size: 274 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MaheshMahat0/heart-disease-prediction

"Retention Radar" is a data-driven analysis and modeling project focused on understanding the key factors that influence customer churn in the telecom industry. By leveraging machine learning and business intelligence techniques, the goal is to help telecom providers predict churn

Language: Jupyter Notebook - Size: 164 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

machkevds/ObesityPredictionWebApp-MachineLearning

Web app that predicts fitness levels using Logistic Regression and Random Forest classifiers.

Language: Rich Text Format - Size: 3.04 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Related Keywords
random-forest-classifier 2,071 machine-learning 969 python 582 logistic-regression 556 decision-tree-classifier 423 pandas 253 data-science 226 random-forest 213 svm-classifier 208 classification 206 machine-learning-algorithms 198 scikit-learn 188 xgboost-classifier 172 naive-bayes-classifier 168 numpy 162 python3 162 jupyter-notebook 150 knn-classification 130 sklearn 129 exploratory-data-analysis 127 matplotlib 118 seaborn 117 decision-trees 113 data-visualization 108 knn-classifier 104 gradient-boosting-classifier 95 linear-regression 89 flask 88 streamlit 88 data-analysis 86 xgboost 80 support-vector-machines 72 eda 71 confusion-matrix 64 feature-engineering 61 gridsearchcv 58 deep-learning 58 smote 58 hyperparameter-tuning 57 ml 56 predictive-modeling 54 supervised-learning 52 classification-algorithm 51 nlp 46 support-vector-machine 46 svm 45 artificial-intelligence 43 gradient-boosting 43 prediction 42 nlp-machine-learning 42 decision-tree 41 supervised-machine-learning 40 support-vector-classifier 40 feature-selection 39 ai 38 neural-network 37 kmeans-clustering 37 sentiment-analysis 37 natural-language-processing 37 matplotlib-pyplot 37 pca 36 knn 35 data-preprocessing 34 classification-model 33 adaboostclassifier 33 logistic-regression-classifier 33 kaggle 31 gaussian-naive-bayes 30 html 29 ensemble-learning 29 scikitlearn-machine-learning 29 binary-classification 28 mlp-classifier 28 streamlit-webapp 28 sklearn-library 28 neural-networks 27 adaboost-classifier 26 pca-analysis 26 regression 25 k-nearest-neighbor-classifier 25 fraud-detection 25 machinelearning 25 dataset 25 random-forest-regression 25 data 24 cross-validation 24 pickle 24 data-cleaning 24 flask-application 24 visualization 23 knearest-neighbor-classifier 23 accuracy-score 23 artificial-neural-networks 23 kneighborsclassifier 22 svc 22 data-mining 22 tensorflow 22 pandas-python 22 regression-models 22 nltk 22