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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

shwetamadhale/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 1 month ago - Pushed at: 8 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Aximiotis/PR_MachineLearning

Machine learning project for an academic subject.It examines basic classification methods such as Bayes and Maximum Likelihood and Random Forests.Also it provides numerous classification methods on a dataset and studies the performance of its classifier in an attempt to achieve a maximum score on unknown data.

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: about 1 month ago - Pushed at: 10 months 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: 2 months ago - Pushed at: 2 months ago - Stars: 1 - 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - 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: about 1 month ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

aliciagilmatute/Machine-Learning-supervised-

Proyectos de Aprendizaje Automático Supervisado

Language: Jupyter Notebook - Size: 529 KB - Last synced at: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: about 2 years ago - Stars: 645 - Forks: 246

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: 3 months ago - Pushed at: almost 2 years ago - Stars: 2 - 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: 31.3 MB - Last synced at: 22 days ago - Pushed at: 3 months ago - Stars: 0 - 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

kbzh2558/LLM_Emotion_Classification

Emotion Classification with LLMs

Language: Jupyter Notebook - Size: 87.4 MB - Last synced at: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

avemurphy/Comparing_ML_Models

Comparing Machine Learning Models

Size: 549 KB - Last synced at: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

PialGhosh2233/Liver_Cirrhosis_Prediction_using_Machine_Learning

This repository contains the implementation of a machine learning project aimed at predicting the stage of cirrhosis based on clinical features.

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

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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 47 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 2 - 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

Lavanya-25204/Loan-Predictor

Loan Predictor App

Language: Jupyter Notebook - Size: 1.31 MB - Last synced at: 20 days ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months 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 1 month ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

AbhinavSharma07/Fraud_Analytics-Credit_Card_Fraud_Detection

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

Language: Jupyter Notebook - Size: 3.39 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 2 - 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: 3 months ago - Pushed at: 3 months 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: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

amatov/DiseaseDetectionUrine

Language: R - Size: 2.97 MB - Last synced at: 3 months ago - Pushed at: 3 months 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: 4 months ago - Pushed at: 4 months 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: about 1 month ago - Pushed at: 2 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 3 months ago - Pushed at: 5 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

nhoiyee/Predictive-Analysis-of-Heart-Disease-Using-Machine-Learning-

The goal is to predict whether a patient has heart disease based on these attributes such as age, sex, blood pressure, cholesterol, and other health-related factors.

Language: Jupyter Notebook - Size: 972 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

srpanna/Stroke_Prediction_Model

Predict stroke risk using patient data and real-time environmental factors with our advanced machine learning model. Explore the interactive dashboard on GitHub! 🐙🌍

Language: Jupyter Notebook - Size: 25.4 KB - Last synced at: 4 months ago - Pushed at: 4 months 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: 28 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

idogut3/20595-DataMining-Discovering-Analyzing-Predicting-Stroke-usingDataScienceShenanigans-ResearchProject

This project is one of my favorites, here I learnt how to use multiple data mining techniques in order to predict stroke!🧠⚡ It gave me a look into the amazing field of Biomedical Informatics⚕❤️‍🩹🔬 Here is my computer science's algorithmic attempt to approach this task. ﮩ٨ـﮩﮩ٨ـ♡ﮩ٨ـﮩﮩ٨ـ

Language: Jupyter Notebook - Size: 7.09 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

ankan123basu/HealthVerse

An all-in-one health analysis platform offering multi-disease prediction (11+ conditions), personalized nutrition guidance, and symptom checking with precautionary insights for over 60 diseases."

Language: JavaScript - Size: 22.5 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

mehrdadhz-77/us-visa-prediction

A Machine Learning pipeline that analyzes U.S. working visa application data to predict case certification outcomes, helping employers and applicants understand key factors influencing approvals

Language: Jupyter Notebook - Size: 1.33 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

quan104/Random-Forest-Wine-Quality-Prediction

Predict wine quality using the Random Forest algorithm. Explore physicochemical properties with Python and popular libraries. 🍷🌿

Language: Jupyter Notebook - Size: 161 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

joejo-joestar/FakeNews-Detection-Model

📰 Fake News Detection Model for DM Course (CS F415)

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Prabhakar200216/Prabhakar-Mishra

A machine learning project that predicts autism using decision trees, random forest, and XGBoost.

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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.

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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.

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sushant1827/Human-Activity-Recognition-with-Smartphones

Kaggle Machine Learning Competition Project : To classify activities into one of the six activities performed by individuals by reading the inertial sensors data collected using Smartphone.

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shreyaa1811/Phishing-URL-Detection

A real-time phishing URL scanner powered by Machine Learning and Intelligent rule-based analysis.

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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.

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tvirat/Datathon

Predictive model for TTC subway delays using Random Forest. Analyzes historical delay data to provide real-time predictions through an interactive web app, helping commuters make informed decisions and improve operational efficiency. Built with Flask, React, and deployed on Vercel.

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tatv047/Credit-Card-Fraud-Detection

A comprehensive machine learning(binary classification) project for detecting credit fraud on a highly imbalanced dataset.

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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: 4 months ago - Pushed at: 4 months 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

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