XxsebalinkxX/ChurnIQ

Full-stack, ML-powered churn prediction app using FastAPI, React/TypeScript, and scikit-learn. Predicts churn probability with logistic regression and serves results via a REST API and interactive UI.

Language: TypeScript - Size: 177 KB - Last synced at: about 1 hour ago - Pushed at: about 3 hours ago - Stars: 0 - Forks: 0

SruthiSuresh12/suicide-risk-detector-reddit

A machine learning pipeline for automated suicide risk detection in Reddit posts. The system scrapes posts via the Reddit API, preprocesses and labels data, extracts features using TF-IDF, and trains a logistic regression classifier to distinguish high-risk (mental health-related) from neutral content. A Flask web interface for real-time analysis.

Language: Jupyter Notebook - Size: 5.98 MB - Last synced at: about 2 hours ago - Pushed at: about 4 hours ago - Stars: 0 - Forks: 0

KumarRaju1313/fake-news-detection

Detect fake vs real news using machine learning models like Random Forest, SVM, and Naive Bayes with TF-IDF features.

Language: Jupyter Notebook - Size: 8.53 MB - Last synced at: about 11 hours ago - Pushed at: about 13 hours ago - Stars: 0 - Forks: 0

KumarRaju1313/review-sentiment-analysis

Analyzing and classifying Amazon product reviews using NLP and machine learning models like Logistic Regression and SVM.

Language: Jupyter Notebook - Size: 7.44 MB - Last synced at: about 11 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

AntonisZks/Deep-Learning-for-Natural-Language-Processing

This repository focuses on Deep Learning in NLP and implements sentiment classification models on a Twitter Dataset, using machine learning algorithms. It is based on an assignment from the Department of Informatics and Telecommunications at the University of Athens (DIT UOA).

Language: Jupyter Notebook - Size: 51 MB - Last synced at: about 22 hours ago - Pushed at: about 24 hours ago - Stars: 0 - Forks: 0

lovnishverma/Crop-Recommendation

A machine learning web application built with Flask that predicts the most suitable crop based on soil nutrients, temperature, humidity, pH, and rainfall. Objective is to recommend the best crop for cultivation based on soil and environmental conditions using a Logistic Regression model trained on the Crop Recommendation Dataset.

Language: HTML - Size: 77.1 KB - Last synced at: about 22 hours ago - Pushed at: about 24 hours ago - Stars: 0 - Forks: 0

Bigchase1a/Anxiety-Analysis-ML-NLP

Machine Learning - NLP - Anxiety Analysis

Language: Python - Size: 9.92 MB - Last synced at: about 22 hours ago - Pushed at: 1 day ago - Stars: 2 - Forks: 0

noviciusss/ML_learning

LoanApproval_logistic

Language: Jupyter Notebook - Size: 4.52 MB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

Kruthika1806/student-performance-prediction

ML project to predict pass/fail of students using logistic regression

Language: Jupyter Notebook - Size: 42 KB - Last synced at: 1 day ago - Pushed at: 1 day ago - Stars: 0 - Forks: 0

param2610-cloud/Dry-Bean-Prediction

This project implements a multiclass classification system to predict dry bean varieties using machine learning techniques. The system classifies beans into 7 different classes: Seker, Barbunya, Bombay, Cali, Dermason, Horoz, and Sira based on their physical characteristics.

Language: Jupyter Notebook - Size: 7.89 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

jrcordeiro/AL-ML-Internship-Advanced-Tasks

Build a robust ML pipeline for predicting customer churn using Scikit-learn. Leverage the Telco Churn Dataset for insights. 🚀🔧

Language: Jupyter Notebook - Size: 10.7 KB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

ethanadp/practice-with-classifiers

Predicting subscription success in a bank telemarketing campaign using machine learning and the CRISP-DM methodology.

Language: Jupyter Notebook - Size: 1.4 MB - Last synced at: 1 day ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

Farhan-himel-malik/sharpeye

SharpEye: Advanced Linux Intrusion Detection and Threat Hunting System

Language: Python - Size: 420 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 1 - 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: 2 days ago - Pushed at: 2 days ago - Stars: 1 - Forks: 0

kktoh1105/Sentiment-Analysis-of-Mental-Health-Social-Media-Text

A final year project on sentiment analysis of mental health text using machine learning, deep learning, and transformer models. Includes full code and datasets.

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DigimonFrankie/Projects

Data Science Projects.

Language: Jupyter Notebook - Size: 22.6 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

ego-creator/hepmassClassification

Pipeline PySpark pour la classification de particules en physique des hautes énergies (dataset HEPMASS). Inclut le prétraitement distribué, l'entraînement de modèles (régression logistique, arbres de décision), l'évaluation et des visualisations clés. Optimisé pour Hadoop/Spark.

Size: 1.95 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

ZahraRahimii/BinaryRegressionNN

A binary classification project using logistic regression and a two-layer neural network, with training visualized via W&B and Comet.m

Language: Jupyter Notebook - Size: 2.35 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

deepikagandla7456/Fake-News-Detection

A Python-based machine learning project to detect fake news by analyzing news article content.

Language: Python - Size: 69.3 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

joedom99/confusion-matrix-email-marketing

Example R scripts and synthetic datasets showing how to use confusion matrices to evaluate marketing email models with both balanced and unbalanced data.

Language: R - Size: 29.3 KB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

raimondilab/precogx

A predictor of GPCR couplings with G-proteins/B-arrs using Transformers

Language: JavaScript - Size: 2.42 GB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 7 - Forks: 3

davidlopez1190/Sign-Language-Recognition

Welcome to **Sign Language Recognition for Deaf and Dumb** — an innovative real-time application built to bridge communication gaps for the deaf and hard-of-hearing community.

Language: Jupyter Notebook - Size: 17.1 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

ranja-sarkar/GD

Gradient descent algorithm to optimize a linear regression model.

Language: Jupyter Notebook - Size: 10.7 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 1 - Forks: 0

IsaCouture/Weather-Type-Classification-WebApp

🌦️ A Flask-based ML web app for classifying weather types (Sunny, Rainy, Cloudy, Snowy) using multiple models. ⛅⚡❄️

Language: Jupyter Notebook - Size: 4.23 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

AkshaySyal/Analysis-using-Supervised-ML-Algorithms

The project applies supervised machine learning algorithms to an image dataset (MNIST), a tabular dataset (Spambase), and a text dataset (20NG) to interpret the data through analysis of top-ranked features.

Language: Jupyter Notebook - Size: 1.5 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

FRoZZy228-demonit/LOGISTIC_REGRESSION_AI_MODEL

End-to-end AI model for detecting cyber threats using custom Logistic Regression in NumPy. Includes Flask backend and user-friendly interface. 🚀💻

Language: Python - Size: 211 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

kooozest/logistic_regression_multiclass_iris

Multiclass logistic regression on the Iris dataset. Learn data exploration, preprocessing, model training, and evaluation with clear examples. 🌸📊

Language: Python - Size: 11.7 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

skibididanieldds1/Complete-Health-Diagnostic-Hub

🩺 Complete Health Diagnostic Hub – A 🌐 web-based platform using 🤖 machine learning to predict potential health risks for ❤️ heart, 🩸 kidney, 🏥 liver, and 🩹 diabetes conditions.

Language: HTML - Size: 5.39 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

dane-meister/Titanic-Survival-Prediction

This project applies machine learning to the Titanic dataset to predict whether a passenger survived.

Language: Jupyter Notebook - Size: 983 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

teepeemm/bracket

Seeding Statistics of Elimination Tournaments

Language: Python - Size: 853 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

DrStef/Machine_Learning_with_Python-IBM

Language: Jupyter Notebook - Size: 6.64 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 1 - Forks: 0

vitarep/Status-Higher-or-Lower

A simple Android app built with Jetpack Compose and WorkManager that monitors the status of a server. It periodically sends network requests and notifies the user if the server is unreachable or responds incorrectly. Uses Koin for dependency injection and Ktor for networking.

Language: Kotlin - Size: 235 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

jaydenth/Churn-Prediction

This is a School assignment, on churn prediction using scikit learn and traditional ML models

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Naidu-DS-2026/Customer-Churn-Prediction-ML

Predicting customer churn using classification models, feature engineering, and evaluation metrics

Language: Jupyter Notebook - Size: 266 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Naidu-DS-2026/News-Article-Classification-NLP

Multi-class classification of news articles using NLP techniques, TF-IDF, and Naive Bayes

Language: Jupyter Notebook - Size: 334 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Naidu-DS-2026/IMDb-Sentiment-Analysis-NLP

Sentiment analysis project using IMDb dataset

Language: Jupyter Notebook - Size: 391 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Epi-Info/Epi-Info-Python-Package

[REPO DEPRECATED - RE: MOVED TO EPIINFO] Epi Info™ Python Package can import data and perform analyses that are available in Epi Info Classic and Dashboard. Please see the README for details.

Language: Python - Size: 10.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 5 - Forks: 1

KG-GitHubRepo/ML

ML Projects and Practices

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kennethleungty/Logistic-Regression-Assumptions

Assumptions of Logistic Regression, Clearly Explained

Language: Jupyter Notebook - Size: 1.83 MB - Last synced at: 2 days ago - Pushed at: about 3 years ago - Stars: 31 - Forks: 8

abdurrehman10q/AL-ML-Internship-Advanced-Tasks

AL/ML Internship Tasks

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dr-mushtaq/Machine-Learning

This repository is a related to all about Machine Learning - an A-Z guide to the world of Data Science. This supplement contains the implementation of algorithms, statistical methods and techniques (in Python), Feature Selection technique in python etc. Follow Coursesteach for more content

Language: Jupyter Notebook - Size: 27.6 MB - Last synced at: 4 days ago - Pushed at: 5 days ago - Stars: 41 - Forks: 22

SreNanthini/EmotionDetector

This is a machine learning project where we built a text-based emotion detection system. Given a user's message, the model predicts the emotional tone — such as joy, sadness, anger, love, etc. The trained model is also deployed in a Streamlit web app for real-time predictions.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

slxppin/Sketchify-A-Quick-Draw-drawing-classifier

Sketchify-A-Quick-Draw is a drawing classifier that uses machine learning to recognize hand-drawn sketches. It helps users identify and categorize their artwork quickly, making it a useful tool for artists and hobbyists alike.

Size: 290 KB - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

Patacalida/churn-prediction

Analysis and Machine Learning group project, that focuses on customer churn prediction modeling.

Size: 1000 Bytes - Last synced at: 5 days ago - Pushed at: 5 days ago - Stars: 0 - Forks: 0

huucanh0511/Startup-Profitability-Prediction

This project predicts startup profitability using Logistic Regression and Random Forest, analysing financial (funding amount, funding rounds, revenue), market (market share), and operational (startup age, employee count) factors. It evaluates AUC, accuracy, precision, recall, and F1-score, addressing underfitting, overfitting, and feature selection

Language: Python - Size: 3.28 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 1 - Forks: 0

myriamgoyet/Deep_learning--Spam_Detector--AT-T

Creation of a spam detector based on a dataset of AT&T text messages labelised

Language: Jupyter Notebook - Size: 19 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

jonathanmutu2005/ML

Machine Learning projects

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Grimstrrr/Argonz-ML

A light weight machine learning library published on npmjs

Size: 1000 Bytes - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - 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: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

craig-parylo/plotor

Produces an Odds Ratio Plot from a GLM Model

Language: R - Size: 6.55 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

Apaulgithub/Cardiovascular_Risk_Prediction

Machine learning project for cardiovascular risk prediction. The goal is to predict whether the patient has a 10-year risk of future coronary heart disease (CHD)

Language: Jupyter Notebook - Size: 28.2 MB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 0

srafay/Machine_Learning_A-Z

Learning to create Machine Learning Algorithms

Language: Python - Size: 10.8 MB - Last synced at: about 9 hours ago - Pushed at: about 4 years ago - Stars: 391 - Forks: 196

Ashis-Mishra07/Medical_Diagnose

Gain a complete and accurate understanding of the disease you’re dealing with.

Language: Jupyter Notebook - Size: 13.8 MB - Last synced at: 6 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

ShreeyaS-48/CreditCardFraudDetection

Project for detecting credit card frauds using neural networks and logistic regression

Language: Jupyter Notebook - Size: 152 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

houzhaohan/Fake-News-Detection-of-Nanjing-Agricultural-University

Fake News Detection of Nanjing Agricultural University 关于南京农业大学的虚假新闻检测

Language: Python - Size: 153 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

RozhakXD/Proyek-Segmentasi-Pelanggan

Customer Segmentation & Classification with ML | IDCamp 2024 Final Project (Unsupervised + Supervised)

Language: Jupyter Notebook - Size: 1.1 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

sileixinhua/Python_data_science_by_iris

iris数据集的基本数据分析方法，包括KNN,LG,NB,SVM算法。

Language: Python - Size: 7.81 KB - Last synced at: 4 days ago - Pushed at: about 8 years ago - Stars: 47 - Forks: 36

samira-yousefzadeh/Python

This repository offers a comprehensive tutorial to help learners grasp the fundamentals of Machine Learning and Pandas. It includes step-by-step guides, practical examples, and code implementations, designed for those looking to build a strong foundation in data analysis and machine learning techniques.

Language: Jupyter Notebook - Size: 25.4 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

steam-bell-92/Extrovert-Introvert

Language: Jupyter Notebook - Size: 535 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 1 - Forks: 0

akash-207/Iris_Classification

Iris Classification using Machine Learning Models

Language: Jupyter Notebook - Size: 172 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

adabyt/logistic_regression_multiclass_iris

A fully commented and educational Python implementation of multiclass logistic regression using the classic Iris flower dataset

Language: Python - Size: 9.77 KB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 0 - Forks: 0

gyrdym/ml_algo

Machine learning algorithms in Dart programming language

Language: Dart - Size: 9.5 MB - Last synced at: 7 days ago - Pushed at: 7 days ago - Stars: 193 - Forks: 33

avip8238/Study_Test_Stress

# Study_Test_StressThis repository explores processing, threads, parallelism, and concurrency using Python, Go, and Java. Join me on this journey to understand performance improvements and build more efficient software! 🐙💻

Language: Java - Size: 438 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

micahondiwa/applied-data-science

A collection of 8 Applied Data Science projects.

Language: Jupyter Notebook - Size: 46.8 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 2 - Forks: 2

alahmad-loay2/scraping-olx

full stack web app allowing user to scrape debuzzile products, analyze them with plotly and get ML model to give most products with resalability potential

Language: Python - Size: 17.1 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

jefrinurmukti/real-time-supply-tracker

Real-time Supply Tracker monitors inventory levels and provides updates as stock changes. This project uses a microservices architecture to ensure efficient and scalable management of supplies. 🛠️✨

Language: Java - Size: 65.4 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 1

Dzin888s/credit-engine

Credit-Engine is a lightweight API that issues and tracks "thank-you" credits for various interactions within an ecosystem. Built with Node.js, Express, and TypeScript, it emphasizes scalability and maintainability while offering features like credit issuance, action type management, and Docker support. 🐙💻

Language: TypeScript - Size: 118 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

sehrishahmedsangrasi/Fake-News-Detector

A machine learning-based web application that detects whether a given news article is real or fake based on its textual content. The goal of the project is to combat misinformation by applying natural language processing (NLP) and classification algorithms.

Language: Jupyter Notebook - Size: 326 KB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

sarfraspc/Sentiment-Analysis

A complete Sentiment Analysis pipeline using the Twitter US Airline Sentiment Dataset, built with Python, and Streamlit! This project includes preprocessing, model training, and a web app for live predictions.

Language: Jupyter Notebook - Size: 3.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

ahsankhizar5/employee-attrition-prediction

Predict employee attrition using HR analytics data. This project includes exploratory data analysis, machine learning model development, performance evaluation, and explainability using SHAP values.

Language: Jupyter Notebook - Size: 14.5 MB - Last synced at: 8 days ago - Pushed at: 8 days ago - Stars: 0 - Forks: 0

anjanchowdhury/Predicting-Student-Exam-Result

A dedicated repo for ML project. Here I use LinearRegression, LogisticRegression, KMeans technique for my project

Language: Jupyter Notebook - Size: 910 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

akabzw24/covid-misinfo-nlp

Detecting COVID-19 health misinformation targeting older adults using TF-IDF, logistic regression, and BERT

Language: Jupyter Notebook - Size: 4.27 MB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

grittalikestocode/Customer-Churn-Analysis

This project analyzes customer churn for a media streaming subscription service. The primary goal is to identify key factors driving churn and build a predictive model that can help reduce customer loss.

Language: Jupyter Notebook - Size: 1.95 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

adithyanum/fake_news_detector

Detects fake vs real news using NLP and logistic regression with 98%+ accuracy on Kaggle dataset

Language: Jupyter Notebook - Size: 85 KB - Last synced at: 9 days ago - Pushed at: 9 days ago - Stars: 0 - Forks: 0

adabyt/logistic_regression_tutorial

Implement logistic regression using Python and scikit-learn to classify malignant vs. benign tumours from the Breast Cancer Wisconsin (Diagnostic) dataset

Language: Python - Size: 0 Bytes - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

muhammadmutahir/CreditRiskModel_CRA_using_XGBoost_Neural_Network_Random_Forest_Regression_Sourav_Basu

This repository contains a credit risk analytics project that uses logistic regression, decision trees, and various data analysis techniques. Explore the code and resources in Jupyter Notebook format to understand the model's performance and insights. 🐱💻📊

Language: Jupyter Notebook - Size: 522 KB - Last synced at: 10 days ago - Pushed at: 10 days ago - Stars: 0 - Forks: 0

Ananya-Anilkumar-Eng/MACHINE-LEARNING-MODEL-IMPLEMENTATION

TASK 4 of my June internship- MODEL IMPLEMENTATION

Size: 4.88 KB - Last synced at: 10 days ago - Pushed at: 10 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: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

omerdduran/riskfactor-heart

This ML project predicts heart disease using logistic regression on the Cleveland Heart Disease UCI dataset, featuring advanced preprocessing and medical feature engineering, achieving 82.1% accuracy with strong cross-validation.

Language: Python - Size: 1000 Bytes - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Mindful-AI-Assistants/credit-card-prediction

💳 This repository focuses on building a predictive model to assess the likelihood of credit card defaults. The project includes data analysis, feature engineering, and machine learning to provide accurate default predictions.

Language: Jupyter Notebook - Size: 6.45 MB - Last synced at: 4 days ago - Pushed at: 6 days ago - Stars: 2 - Forks: 1

Kumar101010/MyJava

Comprehensive Java project covering core OOP concepts, enhancing coding skills and practical understanding. Perfect for beginners! 🚀💻

Language: Java - Size: 154 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

ashioyajotham/Daily-ML

My daily ML practices

Language: Jupyter Notebook - Size: 999 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 4 - Forks: 2

Katinha01/2.Basic_ML_Project

1.PJ Exploratory Insights on Boston Housing Dataset

Language: Jupyter Notebook - Size: 839 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

Ajayace03/tata-genAI-powered-data-analytics

🔍 AI-powered credit risk strategy developed through the Tata Data Analytics Virtual Internship. This project focuses on identifying at-risk customers and designing a responsible agentic AI system to reduce credit card delinquency.

Size: 979 KB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 0 - Forks: 0

utkarsh-284/Credit-Default-Risk

This Repository deals with Credit Risk evaluation and prediction of default

Language: Jupyter Notebook - Size: 3.52 MB - Last synced at: 11 days ago - Pushed at: 11 days ago - Stars: 1 - Forks: 0

kushiviren25/MLCreditCard

ML Credit Card Fraud Detection aims on marking down fraudulent transactions using prominent ML models and handles class imbalance issues and provides visualization of the fraudulent transactions vs non fraud transactions and uses FastAPI to integrate with external systems .

Language: Python - Size: 8.79 KB - Last synced at: 11 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

TempeHS/Machine_Learning_OOP_Implementation_Examples

A Jupyter Notebook collection designed to support students implement Programming for automation in the NESA Software Engineering Syllabus specifically using an OOP to make predictions.

Size: 4.33 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 5 - Forks: 34

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: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

nsoojin/coursera-ml-py

Python programming assignments for Machine Learning by Prof. Andrew Ng in Coursera

Language: Python - Size: 21.9 MB - Last synced at: 1 day ago - Pushed at: almost 5 years ago - Stars: 1,419 - Forks: 486

alokbhateshwar/social-ads-logistic-regression-model

"Logistic Regression model built on the Social Network Ads dataset to predict whether a user will purchase a product based on their Age and Estimated Salary. This project includes data visualization, model training, evaluation, and visualization of decision boundaries."

Language: Jupyter Notebook - Size: 47.9 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

btolawoyin/dsa_ai_ml

DSA Projects - Artificial Intelligence

Language: Python - Size: 479 KB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 1 - Forks: 0

Shakthirekak11/Political-Speech-Manipulation-Detection

🗳️ Political Speech Manipulation Detection uncovers misinformation, bias, and hostile rhetoric in political content using advanced language models and analytical pipelines. It processes speeches, tweets, and news articles to classify truthfulness, detect sentiment, and extract rhetorical and thematic patterns.

Language: Jupyter Notebook - Size: 3.78 MB - Last synced at: 12 days ago - Pushed at: 12 days ago - Stars: 0 - Forks: 0

HadiNahyan/Machine_Learning-_Techniques_for_Credit_Card_Fraud_Detection

Explore machine learning techniques for credit card fraud detection. Compare methods like SVM and XGBoost on imbalanced datasets. 📊💻

Language: Jupyter Notebook - Size: 899 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - Forks: 0

obirikan/ML_Model_Fraud_Detection

This project demonstrates how to use Logistic Regression to detect fraudulent transactions using SMOTE for an imbalanced data

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tasninanika/Heart-Disease-Analysis

The Heart Disease Analysis project is a comprehensive machine learning study aimed at predicting the presence of heart disease using the Heart Disease UCI Dataset.

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NishuMehta/Loan-Default-Prediction

Predicting loan default risk using machine learning. Explored real-world financial data and built classification models including Logistic Regression, Random Forest, and XGBoost.

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tugcantopaloglu/job-acceptence-logistic-regression-machine-learning

A job acceptence machine learning model with logistic regression.

Language: Python - Size: 551 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 0 - 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.

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manulthanura/ReviewClassifier

ReviewClassifier is end-to-end machine learning project that can predict a input product review positive or negative.

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khteh/pAIthon

Exploration of python language features and AI/ML.

Language: Python - Size: 232 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0