GitHub topics: random-forest-classifier
Prabhakar200216/ml-project-2-customer-churn
A machine learning project that predicts customer churn using decision trees, random forest, and XGBoost.
Size: 148 KB - Last synced at: about 2 hours ago - Pushed at: about 4 hours 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: 2.93 KB - Last synced at: about 4 hours ago - Pushed at: about 5 hours ago - Stars: 1 - Forks: 0

Ananta2545/diabetes_prediction
A simple and interactive machine learning web app built using Gradio that predicts whether a person is likely to have diabetes based on health metrics.
Language: Python - Size: 13.7 KB - Last synced at: about 7 hours ago - Pushed at: about 9 hours ago - Stars: 0 - Forks: 1

joejo-joestar/FakeNews-Detection-Model
📰 Fake News Detection Model for DM Course (CS F415)
Language: Jupyter Notebook - Size: 26.1 MB - Last synced at: about 17 hours ago - Pushed at: about 20 hours ago - Stars: 0 - Forks: 0

Prabhakar200216/Prabhakar-Mishra
A machine learning project that predicts autism using decision trees, random forest, and XGBoost.
Size: 333 KB - Last synced at: about 20 hours ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

NhanPhamThanh-IT/Random-Forest-Wine-Quality-Prediction 📦
🍾 A comprehensive machine learning project using Random Forest algorithm to predict wine quality based on physicochemical properties. Features EDA, model training, hyperparameter tuning, feature importance analysis, and detailed documentation.
Language: Jupyter Notebook - Size: 166 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 3 - Forks: 0

nirmal2i43a5/Movie-Review-Sentiment-Prediction-Using-NLP
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: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

akash-kr2812/Olympics-Medal-IQ
The goal of this project is to make a prediction model which will predict whether an athlete will win a medal or not.
Language: Jupyter Notebook - Size: 307 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

RutujaS-2110/Project_01_ML
Hemoglobin-Anemia-Detection-Prevention-Treatment-Web App-Machine Learning_Random Forest
Language: Jupyter Notebook - Size: 556 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 1

shreyaa1811/Phishing-URL-Detection
A real-time phishing URL scanner powered by Machine Learning and Intelligent rule-based analysis.
Language: Jupyter Notebook - Size: 6.46 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

umayashaswi/Heart-Disease-Prediction
🩺 A machine learning and Flask-based web app that predicts heart disease risk, fetches live health news, and maps nearby hospitals using OpenCage API.
Language: Jupyter Notebook - Size: 788 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Soumilgit/Datathon_Team-DataP1ac3X.c0m
A modular bank customer churn prediction Core ML project.
Language: Jupyter Notebook - Size: 13.4 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 7 - Forks: 0

jlindstrom13/ISB
Classifying clinical trials by trustworthiness using machine learning- quality control
Language: Python - Size: 41 MB - Last synced at: 3 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

tatv047/Credit-Card-Fraud-Detection
A comprehensive machine learning(binary classification) project for detecting credit fraud on a highly imbalanced dataset.
Language: Jupyter Notebook - Size: 2.11 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Mukeshthenraj/employee-network-link-prediction
Machine learning on company email graph to predict management salary and future connections.
Language: Python - Size: 3.27 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

jigyasaG18/Employee-Salary-Prediction-Jigyasa
PayNexus is a machine learning-powered web app that predicts employee salaries based on role, education, and experience. Built using Python, Streamlit, and scikit-learn, it supports both single and batch predictions. The app includes advanced features like resume parsing via NLP and interactive visual analytics. Ideal for job seekers, HR profession
Language: Jupyter Notebook - Size: 3.33 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Madhuri5002/Credit-Card-Fraud-Detection
Language: Jupyter Notebook - Size: 42.3 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

rufoabrahamguyo/Machine-learning-codes
machine learning codes
Language: Jupyter Notebook - Size: 1.16 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

RahulNeuroByte/Fake-News-Classifier
This project is an end-to-end Fake News Detection System built using Natural Language Processing (NLP) and Machine Learning techniques in Python. It classifies news articles as either Fake or Real.
Language: Python - Size: 115 MB - Last synced at: 7 days ago - Pushed at: 7 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: 2 days ago - Pushed at: about 4 years ago - Stars: 392 - Forks: 196

RohitXJ/ML-Model-Evaluation-Dashboard
A modular ML evaluation tool with a Streamlit frontend. Upload any CSV dataset, select the target column, apply optional PCA and feature selection, and evaluate Logistic Regression performance with auto/manual top-N feature importance. Built with Scikit-learn, Pandas, and Matplotlib.
Language: Python - Size: 126 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

hasanpeal/Signez
🌟 Signez - Interactive ASL learning with real-time hand sign recognition! 🖐️ Learn and practice ASL alphabet with percentage match, predicted words, scores, and a progress dashboard. Powered by advanced ML and full-stack integration 🚀✨
Language: TypeScript - Size: 22.2 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

TanzirR/Heart-Disease-Classification
Heart Disease classification using various ML classification models. This project was implemented for CSE 445: Machine Learning at North South University during Summer 2022.
Language: Jupyter Notebook - Size: 164 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

ameerahrazali/spotify-streams
Analyze the most streamed Spotify songs of 2024 through EDA and balanced classification models to predict explicit content.
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 1 - Forks: 0

PatriciaLJohnson/Healthcare-Risk-Prediction-with-Random-Forest
This project is a healthcare AI model built using Python and scikit-learn to predict patient health risk levels (Low, Moderate, High) based on demographic, socioeconomic, and medical history data.
Size: 6.84 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

080bct12alex/Insurance-Premium-Prediction
Building End-to-End Machine Learning-Powered Insurance Premium System
Language: Jupyter Notebook - Size: 99.6 KB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 1 - 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: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

ourahma/Health_Project
Medicare is a medical management system integrating machine learning for disease prediction. It handles patient records, appointments, consultations, revenue tracking, and generates invoices, medical reports, and analytics dashboards.
Language: CSS - Size: 20.8 MB - Last synced at: 2 days ago - Pushed at: 15 days ago - Stars: 1 - 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: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 1

dhruvakashyap73/GoldPricePrediction
A machine learning-based web application for predicting gold prices using economic indicators and historical data.
Language: Jupyter Notebook - Size: 6.51 MB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

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: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

AtharvKadammm/Netflix-rating-predictor-StreamPulse
Full-stack machine learning project that predicts viewer satisfaction (high ratings) on Netflix using demographic data and TMDB movie metadata. Includes EDA, XGBoost modeling, and real-time enrichment using the TMDB API.
Language: Jupyter Notebook - Size: 222 KB - Last synced at: 10 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

olekibiapina/scan-r-us
Web scraper for game mods, extracting data from public sites and integrating with Best Mods' API. Contribute to the project on GitHub! 🐙📦
Language: Python - Size: 25.4 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

NurFakhri/DDos-Attack-Predict
Predicting DDoS attacks using Machine learning models (Random Forest, XGBoost, TabNet) with feature selection and evaluation on network traffic data.
Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: 5 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

noleclown/Water-Portability
Language: Python - Size: 4.75 MB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

sisteryell/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: 2.85 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

EgorSolovei/ML-in-nuclear-physics2
Дипломная работа физического факультета СПбГУ
Language: Jupyter Notebook - Size: 445 KB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

Bloodwingv2/End-to-End-MLOps-Pipeline
End-to-End-MLOps-Diagnosis-Pipeline A hands-on MLOps project for disease diagnosis using machine learning — built with Python, Scikit-learn, XGBoost, FastAPI, Streamlit, MLflow, Docker, PostgreSQL, GitHub Actions, and Render. 🔗 Live Backend: https://mlops-1tdv.onrender.com
Language: Jupyter Notebook - Size: 1.75 MB - Last synced at: 15 days ago - Pushed at: 15 days ago - Stars: 1 - Forks: 0

sakethpragallapati/Heart-Attack-Predictor
A full-stack web app to predict the risk of heart attacks using a machine learning model (Random Forest, 98.1% accuracy). Built with React, Node.js, and Python
Language: JavaScript - Size: 455 KB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

samuelAemro12/MachineLeraning_SchoolProject-
A machine learning school project, completed on Google Colab, Classify Case instances of whether there is a recurrence-case or no-recurrance-case of breast cancer
Language: Jupyter Notebook - Size: 256 KB - Last synced at: 6 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

Rachelnk/Customer-Churn-Prediction-ML
This repository contains an analysis of customer data to predict customer churn for a telecommunications company that provides home phone and internet services
Language: Jupyter Notebook - Size: 604 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

tabassumk-analytics/Credit_Card_Fraud_Detection
Credit card fraud detection project with EDA, model building, and business insights
Language: Jupyter Notebook - Size: 374 KB - Last synced at: 16 days ago - Pushed at: 16 days ago - Stars: 1 - Forks: 0

Maitreya71/Machine-learning-model-in-Rstudio
Designed a machine learning model of classification type to classify authenticity of cuisines on YELP data using Rstudio
Language: R - Size: 543 KB - Last synced at: 17 days ago - Pushed at: 17 days ago - Stars: 0 - Forks: 0

nv2105/MovieIQ-Predictive-Analytics-on-Film-Success
MovieIQ is a Streamlit-based interactive dashboard that predicts movie success using data-driven insights. It combines data cleaning, visualization, statistical tests, and a Random Forest model to analyze how factors like budget, genre, and ratings influence box office performance.
Language: Python - Size: 358 KB - Last synced at: 17 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

jan-janssen/gmailsorter
Similarity based email sorting for Google Mail using RandomForest classifiers
Language: Python - Size: 8.63 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 19 - 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: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

Anshikarawat14/Chronic_Disease_Prediction
A machine-learning-based disease prediction app that analyzes symptoms to provide accurate, timely health insights for proactive care.
Language: Python - Size: 62.5 KB - Last synced at: 15 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

jigyasaG18/IIT-Guhawati
Empower Sakhi is a data-driven platform that uses machine learning to identify women at risk of domestic violence in India. It offers confidential self-assessments, survivor stories, and emergency resources through a trauma-informed, privacy-focused web app. The project also provides NGOs with actionable insights via Power BI dashboard for support.
Language: Jupyter Notebook - Size: 7 MB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

RafaPdvn/ds-breast-cancer-challenge
Projeto de ciência de dados que utiliza pandas e algoritmos de machine learning para classificar células de câncer de mama entre maligno e benigno
Language: Jupyter Notebook - Size: 1010 KB - Last synced at: 18 days ago - Pushed at: 18 days ago - Stars: 0 - Forks: 0

steam-bell-92/Intel_Sensors
Language: Jupyter Notebook - Size: 316 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 1 - Forks: 0

Murugayesu/Iris-classification
This project uses the famous Iris dataset to train a machine learning model that classifies flowers into Setosa, Versicolor, or Virginica using Random Forest Classifier.
Language: Python - Size: 214 KB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

El-Bahnasawi/Analyzing-U.S.-Crime-Data
Analyze & visualize U.S. crime data + advanced ML to predict 3-year recidivism risk.
Language: Jupyter Notebook - Size: 51.3 MB - Last synced at: 19 days ago - Pushed at: 19 days ago - Stars: 0 - Forks: 0

jhtullis/Blast_Classification
Train random forest, k-nearest neighbors to classify blasts from RLs
Language: Jupyter Notebook - Size: 29.8 MB - Last synced at: 19 days ago - Pushed at: 19 days 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: 20 days ago - Pushed at: 20 days ago - Stars: 0 - Forks: 0

TheDeepDelve/NutriSoil
NutriSoil is a machine learning-based model that predicts optimal crops based on soil nutrient data, achieving 98% accuracy using Random Forest on a dataset of 2,200 samples. The model is deployed through a Flask-based web application, providing farmers with real-time, data-driven crop recommendations.
Language: Jupyter Notebook - Size: 61 MB - Last synced at: 21 days ago - Pushed at: 21 days ago - Stars: 0 - Forks: 0

semasuka/Income-classification
Predicting if an individual make more than 50K using different features
Language: Jupyter Notebook - Size: 181 MB - Last synced at: 13 days ago - Pushed at: 9 months ago - Stars: 6 - Forks: 4

prokriti11/AgroShield-AI-Powered-Crop-Disease-Detection
About An AI-driven platform offering crop recommendations, fertilizer suggestions, and disease detection for optimal farming.
Language: Jupyter Notebook - Size: 5.85 MB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

akhil-b-26/iris_classification_sagemaker
The project implements a complete machine learning pipeline to classify iris flower species using the classic Iris dataset. The workflow is built and tested on Amazon SageMaker Studio Lab, simulating an end-to-end ML project lifecycle from preprocessing to evaluation.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

ASaha-os/ml-2
MNIST Classification project using RandF
Language: Jupyter Notebook - Size: 238 KB - Last synced at: 22 days ago - Pushed at: 22 days ago - Stars: 0 - Forks: 0

Pratyaksh-Saxena018/Credit_Card_Approval_Project
A project made with a vision to come up with a system in order to ease-out the prediction in the credit card approval process.
Language: Python - Size: 109 MB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

bluzzi7/formula-1-podium-predictor
Predict Formula 1 podium finishes using historical data and machine learning. Explore advanced feature engineering and data analysis. 🚗📊
Language: Jupyter Notebook - Size: 35.4 MB - Last synced at: 24 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

Onk04ly/Breast-Cancer-Treatment-Response-Prediction-Using-Machine-Learning
Developed classification and regression models to predict pathological complete response (PCR) and relapse-free survival (RFS) in breast cancer patients using clinical and MRI-derived features from the I-SPY2 trial dataset.
Size: 9.19 MB - Last synced at: 25 days ago - Pushed at: 25 days ago - Stars: 0 - Forks: 0

abdullahsaka/Capital_One-Data_Challenge
Data Science Challenge
Language: Jupyter Notebook - Size: 258 KB - Last synced at: 19 days ago - Pushed at: about 4 years ago - Stars: 10 - Forks: 6

deepakachyutha/Titanic-ML
This is a Titanic survival prediction based on data from Titanic-Dataset.csv using a simple k Nearest Neighbor(KNN).
Language: Jupyter Notebook - Size: 76.2 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

pashitox/sailor-intelligence
Modelo predictivo para identificar empleados en riesgo de abandonar la empresa, basado en variables de desempeño, satisfacción y trayectoria.
Language: Jupyter Notebook - Size: 7.99 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

AndyFerns/Match-Result-Predictor
A project aiming to implement a Random Forest Classifier in order to predict the outcomes of football matches based on historical data
Language: Python - Size: 184 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 1 - Forks: 0

Data-Frank/Date-A-Scientist-Machine-Learning-in-Python
In this project data from OKCupid has been used to predict income and whether someone smokes or not. The follow machine models were used: neural network, multiple linear regression, random forest classifier, support vector machine and logistic regression.
Language: Jupyter Notebook - Size: 990 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

Swarnendu0123/credit-card-fruad-detection
This project is a credit card fraud detection system that uses machine learning to identify fraudulent transactions.
Language: Jupyter Notebook - Size: 3.35 MB - Last synced at: 26 days ago - Pushed at: 26 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 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Anwarulh007/EduProtect--Student-Dropout-Analysis
EduProtect is a valuable tool for educators, parents, and students in India. By providing accurate predictions and facilitating collaboration, it aims to address the critical issue of student dropouts and ensure a brighter future for all. Used Java in App development and Python for the ML Algorithm in Google Colab.
Language: Jupyter Notebook - Size: 2.64 MB - Last synced at: 23 days ago - Pushed at: 2 months ago - Stars: 2 - Forks: 0

anikchand461/personality-predictor
A Streamlit web app that predicts whether a person is an introvert or extrovert based on behavioral data using a Random Forest classifier.
Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 0

Bhawesh-Agrawal/Numeric-Nomads
Anveshan Hackathon Project Submission Repo of Numeric Nomads
Language: JavaScript - Size: 20.1 MB - Last synced at: 27 days ago - Pushed at: 27 days ago - Stars: 0 - Forks: 1

Team-Hacksmith/nirbhay
Nirbhay (Hindi for "Fearless") is a safety app that automatically detects signs of distress—like cries for help—when a user can't manually call for assistance. It addresses situations faced by victims of violence, elderly individuals during medical emergencies, and people with disabilities, ensuring help is dispatched even when the victim can't act
Language: C - Size: 117 MB - Last synced at: 27 days ago - Pushed at: 29 days ago - Stars: 1 - Forks: 0

wsiqz/formula-1-podium-predictor
This a project which aimed at predicting whether a Formula 1 driver will finish on the podium (top 3) using historical data, advanced feature engineering, and machine learning.
Language: Jupyter Notebook - Size: 35.8 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

chawthinn/campus-placement-prediction
This project uses the Kaggle competition dataset from the "ML with Python Course Project" to predict campus recruitment outcomes. It includes preprocessing, EDA, feature engineering, and model training using classification algorithms such as Logistic Regression, Decision Tree, and K-Nearest Neighbors.
Language: Jupyter Notebook - Size: 729 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

tasninanika/Random_Forest_Classifier
Random Forest is a supervised machine learning algorithm that uses a collection of decision trees to make predictions.
Language: Jupyter Notebook - Size: 46.9 KB - Last synced at: 30 days ago - Pushed at: 30 days ago - Stars: 1 - Forks: 0

PALLADIUM26/psy-geek
Personality analysis tool that leverages the 16 Personality Factor (16PF) model to assess individual personality traits. The project integrates a machine learning backend with a user-friendly frontend interface, allowing users to input data and receive personality assessments.
Language: HTML - Size: 94.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Twistedfrost/best-of-ml-python
Explore the best machine learning libraries in Python. Stay updated with weekly rankings and contributions. Join the community! 🐙🌟
Size: 16 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

TakuGutu/Stock-Price-Prediction
A machine learning model to predict days when a stock's price will go up.
Language: Jupyter Notebook - Size: 623 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Omodaka9375/DeepPhish
A light infoSec recon extension for Chrome browser
Language: JavaScript - Size: 1.39 MB - Last synced at: 8 days ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

shraddha-r0/pgp-ml-ai-portfolio
A series of six hands-on projects completed during my PGP ML and AI academic training with UT Austin and Great Learning
Language: Jupyter Notebook - Size: 9.73 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Hiteshgottapu/Clinnovators
AI-powered healthcare platform for digitizing prescriptions, predicting diseases, and comparing medicine prices. Includes a smart chatbot, doctor matching, and emergency alert features.
Language: HTML - Size: 1.58 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

jigyasaG18/IIT-Guhawati-Hackathon
NHANES Age Group Prediction is a machine learning web app built which classifies individuals as Seniors (65+) or Adults using health and lifestyle data from the NHANES dataset. Powered by a highly accurate Random Forest model, the app supports both individual & batch predictions via user-friendly Streamlit interface. Aims to assist in health plans
Language: Jupyter Notebook - Size: 142 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

neelanshu7/Breast_Cancer_Prediction
Language: Jupyter Notebook - Size: 1.46 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

aimaster-dev/symptocare
SymptoCare is an #AI-powered health assistant that provides #symptom-based #risk predictions and mental wellness support using GPT/Gemini. Built with #React, #Flask, s#cikit-learn, and #Firebase, it offers smart insights and doctor booking features.
Language: Jupyter Notebook - Size: 19.3 MB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 9 - Forks: 0

swarnabhaghosh/Titanic-Survival-Prediction-Model
Developed an end-to-end ML pipeline to predict Titanic passenger survival using Decision Tree and Random Forest classifiers with automated preprocessing in Scikit-learn.
Language: HTML - Size: 411 KB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: 5.01 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Mukeshthenraj/Video-engagement-prediction
ML project to predict video engagement using Random Forest & XGBoost
Language: Python - Size: 727 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

nds-group/ETC_NOMS_2024
Encrypted Traffic Classification at Line Rate in Programmable Switches with Machine Learning
Language: Python - Size: 306 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 12 - Forks: 8

narendhiran-dev/Predictive-Analytics-for-Repayment-Predictions
A machine learning API built with Python, FastAPI, and Scikit-learn to predict borrower repayment risk based on historical payment data. A FinTech risk assessment system that uses a Random Forest model to predict a borrower's future repayment behavior and serves the prediction via a REST API.
Language: Python - Size: 10.7 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

kenypatel233/SentimentAnalysis
Multiclass classification task to perform sentiment analysis of tweet using NLP
Language: Jupyter Notebook - Size: 5.48 MB - Last synced at: 11 days ago - Pushed at: almost 4 years ago - Stars: 1 - Forks: 4

ItsTSH/Customer-Churn-Prediction
Customer Churn Prediction System using XGBoost Regressor, built on Telecom Industry dataset
Language: Jupyter Notebook - Size: 3.94 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

Onome-Joseph/Heart-Attack-Prediction
This project estimates the likelihood of a heart attack for a patient based on their health parameters.
Language: Jupyter Notebook - Size: 1.19 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

Algi21/Supervised-Learning-Classification
Project Supervised Learning - Classification untuk memprediksi customer churn atau tidak berdasarkan dataset suatu perusahaan telekomunikasi.
Language: Jupyter Notebook - Size: 647 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

pratikkatkar-13/EHS_Fertility_Crop_Prediction
This project takes input as 14 micro nutrients values of soil and API based climatic parameter (Temperature, Humidity, Rainfall) on location based to predict Fertility level and Crop accordingly.
Language: Jupyter Notebook - Size: 2 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Shannu3766/ML-Powered-Network-analyzer
A real-time network traffic analysis system that leverages machine learning to predict and classify network flows. The system captures network packets, extracts flow features, and uses Random Forest model to identify potential network threats and anomalies.
Language: Jupyter Notebook - Size: 1.68 MB - Last synced at: about 1 month ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 3

Kunal70616c/Fall-Detection-and-Alert-System-Using-Body-Area-Network
A comprehensive IoT healthcare solution that combines wearable sensors, AI, and mobile technology to detect falls and provide immediate emergency response.
Language: Python - Size: 115 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

CrispenGari/ml-2023
💹📉📊📈This repository contains some machine leaning task that I did from the year 2023.
Language: Jupyter Notebook - Size: 18.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

baris-enes/stroke_prediction_rf
Predicting stroke risk using Random Forest with imbalanced healthcare data and F1-score optimization.
Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

supremkc05/DajuBhaiMiniMart_Analysis
This project is basically a data analysis on the dajubhai minimart data in which i have applied some of the exploratory data analysis and applied ml models and predict the sales and loyality member
Language: HTML - Size: 2.11 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0
