Prokash21/BioSalT

Salinity responsive genes in tomato

Language: Jupyter Notebook - Size: 270 MB - Last synced at: about 6 hours ago - Pushed at: about 7 hours ago - Stars: 0 - Forks: 0

jprmaulion/cholera-gedeo-ethiopia-ml-modeling

Predictive modeling of cholera severity in the Gedeo Zone, Ethiopia, using epidemiological and clinical data. This notebook applies machine learning techniques, including feature engineering, Bayesian hyperparameter optimization, and classification with XGBoost and Random Forest.

Language: Jupyter Notebook - Size: 123 KB - Last synced at: about 9 hours ago - Pushed at: about 10 hours ago - Stars: 0 - Forks: 0

Jeathu/Random_Forest_ML

Random Forest - Classification Iris et CIFAR-10 | Analyse des Performances 🌳 🌳 🌳

Language: Jupyter Notebook - Size: 158 MB - Last synced at: about 12 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

deathlessjr/ecommerce-churn-analysis

📊 Discover customer churn patterns in e-commerce with 91% predictive accuracy, optimizing retention strategies and revealing $17M at-risk value.

Size: 1.3 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

PS-003R32/Lightweight-NIDS

A simple and effective approach to develop a network intrusion system using three different approaches on a raspberry pi.

Language: Python - Size: 19 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 3 - Forks: 0

qweryrr/Intro_to_Machine_Learning_Project

Intro to Machine Learning Project from TripleTen

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jan-janssen/gmailsorter

Similarity based email sorting for Google Mail using RandomForest classifiers

Language: Python - Size: 8.64 MB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 19 - Forks: 0

digvijaydesai078/fraud-detection-ensemble

🛡️ Detect and prevent fraud in real-time with an ensemble system, achieving high accuracy and significant ROI for enhanced security solutions.

Language: JavaScript - Size: 4.26 MB - Last synced at: 2 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

rdxdfulll/ClassifiersCommittee

🌧️ Predict rainfall in Australia using various classification algorithms and enhance your data science skills with the ClassifiersCommittee project.

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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

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SrijaAdhya12/project-to-interview

Your ultimate interview preparation kit for personal project related questions

Language: Python - Size: 797 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Davide011/ML_project_South_African_Heart_Disease

Public Repository: Machine Learning & Data Mining project using the South African Heart Disease dataset. Applied PCA, Regularized Linear Regression, ANN, Logistic Regression, and Decision Trees with cross-validation for regression and classification. Includes feature scaling, EDA, and statistical tests.

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elgw/trafo

fast and tiny random forest

Language: C - Size: 313 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

Raushan11r11/Advanced-Human-Life-Detection

🚨 Detect survivors under debris using a portable tool that fuses radar, audio, and vibration signals with advanced processing and machine learning.

Language: Python - Size: 14.9 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 1

benedekrozemberczki/shapley

The official implementation of "The Shapley Value of Classifiers in Ensemble Games" (CIKM 2021).

Language: Python - Size: 826 KB - Last synced at: 2 days ago - Pushed at: over 2 years ago - Stars: 221 - Forks: 35

MAHMOUD2ABDALLAH/family-members-segmentation

Machine learning Classification for Family Determination for various generations by their age, height, weight, etc...

Language: Python - Size: 641 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 1 - Forks: 0

nayaranormanda/youtube-rag-app

🎥 Ask questions about YouTube videos using AI with this RAG app, which leverages transcripts and embeddings for context-aware answers.

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sajinamatya/Credit-card-default-prediction-

A machine learning project that helps predict when credit card customers might miss their payments. I built and tested four different models—Logistic Regression, SVM, Random Forest, and Ensemble Learning—to see which one does the best job at spotting risky accounts before problems happen.

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mehmoodulhaq570/ML-Models

A repository consisting of implementation of all machine learning models.

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SermetPekin/random-forests-c Fork of andriidski/random-forests-c

Implementation of Random Forests model and decision trees in C

Language: C - Size: 274 KB - Last synced at: 7 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 0

imran-sony/heart-disease-prediction

Heart disease prediction using FastAPI

Language: Python - Size: 233 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

MariyamSiddiqui/Fake-News-Detection-Using-NLP

Fake News Detection using Natural Language Processing (NLP). This project preprocesses news data, vectorizes text with TF-IDF, and trains machine learning models to classify news as real or fake.

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sameer-at-git/FastAPI-Implementation-with-Streamlit-on-IRIS-Dataset-to-Predict-Flower

A machine learning web application for predicting Iris flower species using FastAPI backend and Streamlit frontend. Features a pre-trained classifier (Random Forest Classifier), interactive UI with real-time predictions, RESTful API with automatic documentation, Data validation using Pydantic, and visual results display with flower images.

Language: Jupyter Notebook - Size: 28.8 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

BhanuHarshaY/Employee-Attrition-Predection

Built a predictive ML model for employee attrition using Python & scikit-learn on a 10K-row HR dataset. Tackled class imbalance with balanced weights across Logistic Regression, Random Forest, and Gradient Boosting hitting 82% ROC-AUC while spotlighting top risks like low job satisfaction, long commutes, and stalled promotions.

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Cnair02/DiabetesDetection-ML

Predictiver modelling with Diabetes PIMA Dataset which consists of model comparison using decision tree, random forest, logistic classifier and xgboost algorithms

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

sebastianperezv/Heart-disease-project

This is a ML classification project using heart disease classification dataset to predict which patients are most likely to suffer from a heart disease in the near future using the features given.

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annKimani-ICS/Random-Forest-Based-IDPS

Random Forest-Based Intrusion Detection & Prevention System (IDPS) A machine learning-powered IDPS that detects and mitigates Denial-of-Service (DoS) attacks in corporate networks using the CIC-DDoS2019 dataset. Features a Random Forest model, modular design, and an interactive GUI for real-time monitoring and alerts.

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aht205/supervised_learning_classification_bayesian_inference

Bayesian inference with JAGS project along with supervised learning (KNN, QDA, RF, SVM) in R; reproducible coursework

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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: 5.15 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 8 - Forks: 3

myngoc-trg/BERN02_Project_Credit_Risk

Evaluate predictive models for credit risk classification, identifying whether a borrower is likely to default or not. Techniques: PCA, t-SNE, SMOTE, Random Forest, Neural Network

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XingYihang1/Customer_churn_prediction_using_a_novel_meta-classifier

论文复现项目：基于Oracle元分类器的客户流失预测，复现相关论文研究成果，通过集成决策树、随机森林、XGBoost等多种机器学习算法，采用SelectKBest+GridSearchCV和Permutation Features Selection+BayesSearchCV两种特征选择和超参数优化策略增加基分类器池，实现堆叠集成和动态选择集成并提高Oracle元分类器的理论上限。

Language: Python - Size: 5.44 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

pooravrawat1/Music-genre-classification

End-to-end music genre classification using audio feature extraction and machine learning models.

Language: Python - Size: 1.2 GB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 1 - 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: 40.7 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

CrispenGari/ml-2023

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

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xRomory/CCMACLRL_COM231ML_PROJECT

Cross-linguistic fake news detection using machine learning models trained and evaluated across English and Filipino datasets.

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RaudahYasminG0/Classification-mini-project-loan

Language: Jupyter Notebook - Size: 6.1 MB - Last synced at: 13 days ago - Pushed at: 15 days ago - Stars: 0 - Forks: 0

gbenedetti22/random-forest-classifier-cpp

A very fast implementation of a Random Forest Classifier on C++

Language: C++ - Size: 2.97 MB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 0 - Forks: 0

njorogepaul-moghul/Iris-Flower-Classification

This project predicts the species of an Iris flower (Setosa, Versicolor, Virginica) based on its sepal and petal measurements. We trained and evaluated multiple ML models — with Logistic Regression performing best at 93% accuracy. Finally, we deployed on streamlit:[app] (https://irisflowerapp-ripwlmfmctrzqphjapj97t.streamlit.app/)

Language: Jupyter Notebook - Size: 462 KB - Last synced at: 22 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

njorogepaul-moghul/Iris_flower_app

This app classifies Iris flowers into species based on their sepal and petal measurements using trained machine learning models. Users can input measurements and get instant predictions.

Language: Python - Size: 27.3 KB - Last synced at: 22 days ago - Pushed at: 28 days ago - Stars: 1 - Forks: 0

kamlesh0928/energy-track

Language: TypeScript - Size: 974 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

Saravanakumar-AS/Fertilizer-Recommendation-System-Using-Machine-Learning

A machine learning–based Fertilizer Recommendation System that suggests the best fertilizer using soil type, crop type, temperature, humidity, moisture, and NPK levels. It helps farmers make data-driven decisions to improve crop yield and soil health with accurate and efficient predictions.

Language: Jupyter Notebook - Size: 38.1 KB - Last synced at: 23 days ago - Pushed at: 23 days ago - Stars: 0 - Forks: 0

Deepak-Manian/Content-Monetization-Modeler

Content Monetization Modeler predicts YouTube ad revenue from video performance and contextual features using regression models and a Streamlit app for interactive what‑if analysis

Language: Jupyter Notebook - Size: 6.88 MB - Last synced at: 24 days ago - Pushed at: 24 days ago - Stars: 0 - Forks: 0

Ganesh774218/Forest-Fire-Detection

A Machine Learning project that predicts forest fire occurrences using environmental and weather data, achieving 94% accuracy through data preprocessing, feature engineering, and model optimization.

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mariofabelo/Exoplanet_Detection_AI_NASASpaceApps2025

Language: Jupyter Notebook - Size: 121 MB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - Forks: 0

anushka525/ml-based-crop-prediction-model

This repository contains a machine learning based web application designed to help farmers make informed decisions about crop selection. By leveraging a Random Forest Classifier, the system predicts the ideal crop based on various environmental factors.

Language: CSS - Size: 466 KB - Last synced at: 26 days ago - Pushed at: 26 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: 21 days ago - Pushed at: over 4 years ago - Stars: 392 - Forks: 195

Minahil-Abid/codealpha_task01

Predicting creditworthiness using machine learning and financial history data.

Language: Jupyter Notebook - Size: 774 KB - Last synced at: 26 days ago - Pushed at: 26 days ago - Stars: 0 - 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: 27 days ago - Pushed at: 27 days ago - Stars: 1 - Forks: 0

gokilanr/Crop_predictor

# Crop Recommendation and Data Analysis App ... --- **#DataScience #MachineLearning #Python #Flask #AgriTech #OpenSource #WebApp #CloudComputing #PortfolioProject #Analytics**

Language: Jupyter Notebook - Size: 121 MB - Last synced at: 28 days ago - Pushed at: 28 days ago - Stars: 0 - Forks: 0

vijay-saravanan/Advanced-Human-Life-Detection

Portable, real-time embedded system using mmWave radar, microphone, and accelerometer sensor fusion with advanced signal processing and machine learning to detect and locate humans trapped under debris. Features rapid alerts via LCD, LED, buzzer, and is designed for Raspberry Pi deployment in disaster scenarios.

Language: Python - Size: 13.6 MB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

StarlangSoftware/Classification-CPP

Machine learning library for classification tasks

Language: C++ - Size: 64.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 7 - Forks: 0

fitsblb/PowerCo-Custumer-Churn

A data-driven predictive model to identify SME customers at risk of churning, enabling targeted retention strategies for PowerCo.

Language: Jupyter Notebook - Size: 29.8 MB - Last synced at: 13 days ago - Pushed at: 14 days ago - Stars: 0 - Forks: 0

ikramelhazdour/GEE_LULC_Multi-year_Classification

A Google Earth Engine Land use (crops) classification workflow using Random Forest, one year of ground data, Sentinel-2, and Landsats; to produce multiyear annual 30-m crop maps

Language: JavaScript - Size: 59.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

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 1 month ago - Pushed at: about 1 month ago - Stars: 27 - Forks: 1

hemgandhi13/bcgx-powerco-churn-analysis

End-to-end data science project simulating a BCG X engagement with PowerCo — analyzing customer churn through business framing, EDA, feature engineering, modeling, and executive recommendations.

Language: Jupyter Notebook - Size: 6.68 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

FrienDotJava/adult-census-income

[Deployed in Streamlit] A machine learning project classifying whether someone has income >$50K or <$50K using several models.

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

fidayuzida/Water-Quality-Prediction-and-Monitoring

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: 922 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ahmadbuilds/fake-news-classifier

Classifies news articles as real or fake using an NLP pipeline with TF-IDF + n-grams and machine learning models. Includes text preprocessing, feature engineering, model training, and evaluation.

Language: Jupyter Notebook - Size: 34.3 MB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

MachineNeyarning/ClassifiersCommittee

Comitê de Classificadores | Projeto N1

Language: Jupyter Notebook - Size: 5.75 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 4 - Forks: 0

saraa-sunny/breastcancer-prediction

Beginner data science project to accurately classify breast cancer tumors as either malignant or benign using biopsy features.

Language: Jupyter Notebook - Size: 980 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

itsmarm0/Machine_learning_projects

This repository contains projects demonstrating hands-on experience with various machine learning algorithms.

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amitne7/student-performance-analysis

Student Performance analysis

Language: Jupyter Notebook - Size: 57.6 KB - Last synced at: about 1 month ago - Pushed at: about 1 month 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: 32 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

vvittis/CCFD-RF

Credit Card Fraudulent Detection with Random Forest

Language: Java - Size: 4.5 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

nocalc/Crash-Game-Prediction-Machine-Learning-Experiment-

OCR + ML crash game multiplier prediction — educational experiment

Language: Python - Size: 51.8 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

sayande01/Phising_URL_Detection_RandomForest

This project builds a robust binary classification system to detect phishing websites using URL features like SSL state, web traffic, and domain patterns. Achieving 97% accuracy, 96.8% precision, and 0.9953 ROC-AUC, it ensures reliable, efficient detection with interpretable insights.

Language: Jupyter Notebook - Size: 2.81 MB - Last synced at: 3 days ago - Pushed at: 12 months ago - Stars: 1 - Forks: 0

madhurimarawat/Final-Internship-Project

This repository contains my internship project that I made using Streamlit and Python programming language.

Language: Jupyter Notebook - Size: 288 KB - Last synced at: about 1 month ago - Pushed at: 11 months ago - Stars: 1 - Forks: 1

FadyThabet12/ML_project-

NTI final Trianing project

Language: Jupyter Notebook - Size: 39 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

daaanishhh002/SignWave

This repository contains code for a real-time hand gesture recognition system using flex sensors and an IMU6050 sensor in gloves. It translates sign language gestures into text and converts them to speech.

Language: Jupyter Notebook - Size: 1.32 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 1

TakuGutu/Stock-Price-Prediction

A machine learning model to predict days when a stock's price will go up.

Language: Jupyter Notebook - Size: 732 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - 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: 611 KB - Last synced at: 27 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

bongssss/ML-

This project implements and evaluates multiple supervised machine learning models to classify heartbeat signals from ECG (Electrocardiogram) data into arrhythmia types using the MIT-BIH Arrhythmia Dataset.

Language: Jupyter Notebook - Size: 16.4 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

konentung/Titanic-Machine-Learning

Create a RandomForestClassifier model using sklearn to predict Titanic survival and calculate accuracy score

Language: Jupyter Notebook - Size: 102 KB - Last synced at: 25 days ago - Pushed at: about 2 months 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: 377 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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 1 month ago - Pushed at: about 2 months 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 2 months ago - Pushed at: about 2 months 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 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

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

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: about 2 months ago - Pushed at: about 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: 13 days ago - Pushed at: 7 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: about 2 months ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: 12 days 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: about 2 months ago - Pushed at: about 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: about 2 months ago - Pushed at: about 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: 23 days ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: about 2 months ago - Pushed at: about 2 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: 2 months ago - Pushed at: 2 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

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aliciagilmatute/Machine-Learning-supervised-

Proyectos de Aprendizaje Automático Supervisado

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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: about 2 months ago - Pushed at: almost 2 years ago - Stars: 645 - Forks: 246