1234567Yang/AIResultSummaryTemplate

A streamlined and easy-to-use AI performance evaluation / summary template with modern UI in HTML, including correct percentage chart and comparison with other models, precision, recall, F1-score, and confusion matrix. Enables you to create the result chart within 3 minutes.

Language: JavaScript - Size: 506 KB - Last synced at: about 13 hours ago - Pushed at: about 14 hours ago - Stars: 0 - Forks: 0

arcena9/R-Machine-Learning-TCR

📈 Analyze thyroid cancer recurrence using logistic regression and advanced machine learning algorithms for accurate risk stratification and insights.

Language: HTML - Size: 1.91 MB - Last synced at: 3 days ago - Pushed at: 3 days ago - Stars: 0 - Forks: 0

Marselinofransischo/ai-image-wildfire-detection

🔥 Detect wildfires early with AI-powered image classification, leveraging CNNs to distinguish fire, smoke, and non-fire scenes for prompt response.

Language: Jupyter Notebook - Size: 16.3 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

Yahya222F/MuseumLangID---Model-for-Identifying-the-Language-of-Texts-for-a-Museum

🌍 Identify museum text languages automatically using TF-IDF and Multinomial Naive Bayes for accurate classification in Italian, English, and German.

Language: Jupyter Notebook - Size: 1.41 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

shahbajtahershezan/heart-disease-prediction-ann

Heart Disease Prediction using ANN and ML models. This project performs detailed EDA on heart disease data and trains ANN, Random Forest, Decision Tree, and SVM models to predict heart disease likelihood using features like age, cholesterol, and blood pressure, with visualizations and performance metrics for evaluation.

Language: Jupyter Notebook - Size: 293 KB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

rogeriorrcoelho/Churn

Projeto de Regressão Logística desenvolvido em Python com Google Colab Jupyter Notebook

Language: Jupyter Notebook - Size: 9.91 MB - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

SuryaAbyss/Crime-Data-Analysis-Forecasting

Conducted data analysis, statistical analysis, and data visualization on an Indian crime dataset. Applied various machine learning algorithms to gain insights from the data. Utilized Time-Series models for prediction and forecasting based on the crime data analysis.

Language: Jupyter Notebook - Size: 1.32 MB - 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

Size: 1000 Bytes - Last synced at: 4 days ago - Pushed at: 4 days ago - Stars: 0 - Forks: 0

KasrAskari/Classifiaction-Text-Documents

Text classification project using synthetic text data to categorize documents into multiple topics

Language: Jupyter Notebook - Size: 64.5 KB - Last synced at: 6 days ago - Pushed at: 6 days ago - Stars: 0 - Forks: 0

sepandhaghighi/pycm

Multi-class confusion matrix library in Python

Language: Python - Size: 12 MB - Last synced at: 8 days ago - Pushed at: 15 days ago - Stars: 1,489 - Forks: 125

hgabrali/Vehicle-Silhouette-Classification-for-Prospect-Auto

The primary goal of this project is to develop and evaluate a robust multiclass classification model.

Language: Jupyter Notebook - Size: 139 KB - Last synced at: 13 days ago - Pushed at: 13 days ago - Stars: 1 - Forks: 0

joseayonwu/recipe-reviews-rating-prediction

nd-to-end data analytics and machine learning project predicting 1–5 star ratings from recipe reviews. Includes full workflow: data cleaning, exploratory analysis, feature engineering, modeling, and evaluation.

Language: Jupyter Notebook - Size: 7.3 MB - Last synced at: 14 days ago - Pushed at: 14 days ago - Stars: 1 - Forks: 0

apple/ml-hierarchical-confusion-matrix

Neo: Hierarchical Confusion Matrix Visualization (CHI 2022)

Language: TypeScript - Size: 1.92 MB - Last synced at: 15 days ago - Pushed at: 16 days ago - Stars: 314 - Forks: 35

ashleyroque/Instagram-Engagement-Classification-Project

Predicts whether an Instagram post will have high or low engagement based on specific post characteristics.

Language: Jupyter Notebook - Size: 316 KB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

NadyaKameelaa1/klasifikasi_lemon

Ulangan Praktik Mapel Pilihan (AI) - Machine Learning, StandardScaler, OneHotEncoder, OrdinalEncoder, Logistic Regression, dan lain sebagainya.

Language: Jupyter Notebook - Size: 84 KB - Last synced at: 16 days ago - Pushed at: 17 days ago - Stars: 1 - Forks: 0

18mahi/digital_cave

An intermediate-level deep learning project that compares Convolutional Neural Networks (CNN) and Multi-Layer Perceptrons (MLP) on the MNIST handwritten digits dataset. This project demonstrates data augmentation, learning rate scheduling, and visual comparison of model performance

Language: Jupyter Notebook - Size: 118 KB - Last synced at: 29 days ago - Pushed at: 29 days ago - Stars: 0 - Forks: 0

Manishms18/Sign-Language-Advance

Contributed to a vision-driven accessibility tool translating sign language into text

Language: Python - Size: 54.7 KB - Last synced at: 26 days ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

vivek7557/Machine-learning-projects

machine learning projects

Language: Jupyter Notebook - Size: 44.8 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

adabyt/cancer-subtypes-with-functions

Multiclass classification of breast cancer subtypes using synthetic gene expression data. Refactored code to use a single function for model evaluation across Logistic Regression, Random Forest, and HistGradientBoosting, including metrics and ROC-AUC with Youden’s J statistic.

Language: Python - Size: 2.22 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

ZackAkil/precision-recall-playground

Interactive UI for understanding how a confusion matrix work in machine learning classification.

Language: HTML - Size: 2.45 MB - Last synced at: about 1 month ago - Pushed at: over 3 years ago - Stars: 3 - Forks: 3

ioverho/prob_conf_mat

Confusion matrices with uncertainty quantification, experiment aggregation and significance testing.

Language: Python - Size: 14.1 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 2 - Forks: 0

rachkat/analyzing-cost-benefit-r-activity

Decision Tree classification on the Titanic dataset with evaluation using a Confusion Matrix and ROC Curve. Achieved 78.1% accuracy and an AUC of 0.8147, highlighting sex, age, and passenger class as key survival predictors.

Size: 1.92 MB - Last synced at: 29 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

miozilla/conmatrix

conmatrix :1234::alien::checkered_flag: : Confusion Matrix # Data Imbalance # Evaluation # Weights & Biases

Language: Jupyter Notebook - Size: 2.94 MB - Last synced at: 23 days ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

RohitMukkala/Plant-Disease-Prediction-Model

This project implements a robust deep learning solution for identifying agricultural pests and diseases from images. By fine-tuning advanced architectures like MobileNet and ResNet on a curated dataset, the pipeline delivers high accuracy with end-to-end preprocessing, model training, and evaluation using F1-Score and confusion matrices.

Size: 646 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

andrewnana/R-Machine-Learning-TCR

Thyroid cancer recurrence prediction

Language: HTML - Size: 638 KB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 0 - Forks: 0

Abdullah321Umar/Brainwave_Matrix_Intern-TASK2

♦️ Twitter US Airline Sentiment Analysis ♦️ Applied text preprocessing, NLP, and sentiment classification to analyze positive, neutral, and negative tweets. Created visualizations like sentiment distribution, airline comparisons, and word clouds for key insights. Delivered a cleaned dataset, insightful analysis, and automated PowerPoint report.

Language: Jupyter Notebook - Size: 17.9 MB - Last synced at: about 1 month ago - Pushed at: about 1 month ago - Stars: 1 - Forks: 0

metriculous-ml/metriculous

Measure and visualize machine learning model performance without the usual boilerplate.

Language: Python - Size: 3.54 MB - Last synced at: 5 days ago - Pushed at: about 1 year ago - Stars: 99 - Forks: 11

rafli2803/ai-image-wildfire-detection

🔥 Detect wildfires early with AI-driven image classification using CNNs for accurate and rapid response in real-time monitoring.

Language: Jupyter Notebook - Size: 15 MB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 0

Aalaa4444/Garbage_Classification

CNN model to classify garbage

Language: Jupyter Notebook - Size: 458 KB - Last synced at: about 2 months ago - Pushed at: about 2 months ago - Stars: 0 - Forks: 1

wcipriano/pretty-print-confusion-matrix

Confusion Matrix in Python: plot a pretty confusion matrix (like Matlab) in python using seaborn and matplotlib

Language: Python - Size: 725 KB - Last synced at: about 1 month ago - Pushed at: 7 months ago - Stars: 535 - Forks: 154

bryanyuan2/cycheng-crf-evaluation-tool

A python class for generating CRF++ Confusion Matrix

Language: Python - Size: 78.1 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 2 - Forks: 1

ayamekni/lung-cancer-prediction-ml

Machine learning project for predicting lung cancer likelihood using survey data. Includes full workflow: preprocessing, feature engineering, model training, evaluation, and deployment with scikit-learn and ADASYN.

Language: Jupyter Notebook - Size: 998 KB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Bakrawy2025/emotion-sentiment-classifier

Emotion & sentiment classifier in Python using TF-IDF + Logistic Regression (scikit-learn). Includes joblib model saving, evaluation and CLI prediction. 🐱💻

Language: Python - Size: 1.54 MB - Last synced at: 2 months ago - Pushed at: 2 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

ticiaad93/Ecommerce-Product-Categorization

🛒 Automate e-commerce product categorization with a machine learning pipeline for accurate top and bottom-level classification from product metadata.

Language: Jupyter Notebook - Size: 2.72 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

paultongyoo/churn-model-evaluation-platform

End-to-end platform for training, deploying, and monitoring a churn prediction model—built using MLOps best practices and tools applied from the DataTalksClub MLOps Zoomcamp. Project earned the highest-tier score (top 10 out of 180+ cohort participants) in peer-reviewed project assessment.

Language: Jupyter Notebook - Size: 14.4 MB - Last synced at: 2 months ago - Pushed at: 2 months ago - Stars: 4 - 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: 2 months ago - Pushed at: 2 months ago - Stars: 0 - Forks: 0

Supershivam07/Vision-AI

Language: Jupyter Notebook - Size: 55.2 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

Baschin1103/Classification_neural_network_pytorch_confusion_matrix

In this repository you find a jupyter-notebook and csv-data that is made for classification of hattrick players by a neural network with pytorch. A confusion-matrix is done to interpret the results more.

Language: Jupyter Notebook - Size: 21.5 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

naveenk-DS/Microsoft_classification

🛡️ Microsoft - Classifying Cybersecurity Incidents This project focuses on classifying cybersecurity incidents using machine learning techniques. The goal is to build a model that can identify the type of incident based on input features, helping security teams respond more effectively.

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

SaketJha-323/Motion_Capture_Analysis

Implementing machine learning pipeline for anomaly detection for one marker point

Language: Python - Size: 411 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

SaketJha-323/Drone-Motion-Analysis_Major_Project

Implementing machine learning pipeline for anomaly detection

Language: Jupyter Notebook - Size: 4.75 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

PENGZhaoqing/kdd99-scikit

Solutions to kdd99 dataset with Decision tree and Neural network by scikit-learn

Language: Python - Size: 6.42 MB - Last synced at: 2 months ago - Pushed at: over 8 years ago - Stars: 59 - Forks: 22

AUX-441/emotion-sentiment-classifier

Understanding human emotions in text is crucial for many applications such as customer feedback analysis

Language: Python - Size: 1.54 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

CD-AC/DataScience-Resignation_Prediction

This project conducts a comprehensive analysis of employee data from the company 'ABC' and employs various machine learning models to predict potential employee resignations. Subsequently, it evaluates and compares the performance of these models based on different evaluation metrics.

Language: Jupyter Notebook - Size: 7.93 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 3 - Forks: 0

giacomolat/Classification-of-exotic-fruits

The goal of this project is to develop an automatic classification system for exotic fruits based on numerical features using the K-nearest neighbors (K-NN) algorithm

Language: Jupyter Notebook - Size: 307 KB - Last synced at: 2 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

danielBasgo/tinnitus-trainer

A PyTorch-based Convolutional Neural Network (CNN) to classify audiogram images for tinnitus detection, achieving 93% validation accuracy.

Language: Python - Size: 518 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 1

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

s07yoel/Logistic-Regression-Heart-Disease-Prediction

Predict heart disease using logistic regression in this comprehensive machine learning project. Explore features, dataset, and model performance. 🌟🔧

Language: Jupyter Notebook - Size: 33.2 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

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.

Language: Jupyter Notebook - Size: 46.4 MB - Last synced at: 19 days ago - Pushed at: about 6 years ago - Stars: 7 - Forks: 3

paultongyoo/titanic-ml-from-disaster

Kaggle Competition: Titanic Passenger Survival Classification

Language: Jupyter Notebook - Size: 155 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

samira-yousefzadeh/Parkinson-s-Disease-Detection

Machine learning project for early detection of Parkinson’s disease using voice data. Includes preprocessing, feature selection, model training, and evaluation using classifiers like Logistic Regression, KNN, Decision Tree, Random Forest, and AdaBoost. Focused on non-invasive, accurate diagnosis support.

Language: Jupyter Notebook - Size: 1.07 MB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 1 - Forks: 0

ChristinaMakri/svm-fairness-record-linkage

Evaluating bias for SVM-based Record Linkage using Confusion Matrix-based metrics.

Language: Python - Size: 7.81 KB - Last synced at: 3 months ago - Pushed at: 3 months ago - Stars: 0 - Forks: 0

dpb24/customer-churn

🌐 Predicting Customer Churn with Decision Tree, XGBoost & Neural Network Models on the Cell2Cell Dataset

Language: Jupyter Notebook - Size: 12 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Niteshchawla/CV-Classification--Fresh-Produce-Chain

Development of robust classifiers which can distinguish between images of different types of vegetables, while also correctly labeling images that do not contain any one type of vegetable as noise.

Language: Jupyter Notebook - Size: 4.81 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

AadrianLeo/Fashion-Style-Classifier

A machine learning and deep learning pipeline for fashion image classification. Combines real-world data, manual annotation, and both KNN and EfficientNet-B0 CNN models to classify images into style categories. Includes data cleaning, augmentation, model training, evaluation, and reproducible notebooks.

Language: Jupyter Notebook - Size: 510 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 1

prasidhinandwani/A-Lightweight-CNN-with-Squeeze-and-Excitation-Attention-for-Brain-Tumor-Classification

Brain tumor detection with attention module

Size: 3.64 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SuperYanka/customer-churn-prediction

Machine learning project for predicting customer churn based on user behavior, contract type, and monthly charges. Includes preprocessing, model training, and evaluation. /// Проект по предсказанию оттока клиентов телеком-компании на основе их контрактов, активности и платежей.

Language: Jupyter Notebook - Size: 999 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 0

OmidGhadami95/EfficientNetV2B0---PlantVillage

Plant disease detection on PlantVillage dataset using EfficientNetV2-B0

Language: Jupyter Notebook - Size: 1.73 MB - Last synced at: about 2 months ago - Pushed at: over 1 year ago - Stars: 6 - Forks: 1

SawyerAlston/MNIST-NN-Pure-Math

A "from-scratch" 2-layer neural network for MNIST classification built in pure NumPy, featuring mini-batch gradient descent, momentum, L2 regularization, and evaluation tools — no ML libraries used.

Language: Python - Size: 187 KB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 3 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Jakub-Espandr/MetriCalc

A modern, cross-platform desktop app for calculating classification metrics from confusion matrices. Includes XLSX export, real-time language switching, and batch processing with responsive UI.

Language: Python - Size: 443 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - 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: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

educarrascov/Diplo_BigData

Repositorio creado para almacenar archivos, script y el informe final del curso de modelamiento estadístico del Diplomado en Big Data de la Pontificia Universidad Católica de Chile.

Language: R - Size: 11.7 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Farhan-Feb/Customer-Churn

This project involves predicting customer churn in a telecommunications company using machine learning techniques, exploring various features' impact, optimizing models, and identifying key factors influencing churn.

Language: Jupyter Notebook - Size: 4.6 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

Simran0192004/Healthy_Lifestyle_Predictor

Built a smart KNN Classifier to predict whether a person’s lifestyle is *Healthy*, *Moderate*, or *Unhealthy* based on daily habits like sleep, hydration, and screen time. Achieved **100% accuracy* on clean test data.

Language: Python - Size: 4.88 KB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 0 - Forks: 0

SatvikPraveen/FashionMNIST-Analysis

A comprehensive analysis of the Fashion MNIST dataset using PyTorch. Covers data preparation, EDA, baseline modeling, and fine-tuning CNNs like ResNet. Includes modular folders for data, notebooks, and results. Features CSV exports, visualizations, metrics comparison, and a requirements.txt for easy setup. Ideal for ML workflow exploration.

Language: Jupyter Notebook - Size: 85.3 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 2 - Forks: 3

SaketJha-323/Liver_Cirrhosis_Stage_Detection_System

Liver Cirrhosis Stage Detection System Using Random Forest and XGBoost with Stacking Classifier

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 4 months ago - Pushed at: 4 months ago - Stars: 1 - Forks: 0

sergio11/spam_email_classifier_lstm

This project uses a Bi-directional LSTM model 📧🤖 to classify emails as spam or legitimate, utilizing NLP techniques like tokenization, padding, and stopword removal. It aims to create an effective email classifier 💻📊 while addressing overfitting with strategies like early stopping 🚫.

Language: Jupyter Notebook - Size: 3.2 MB - Last synced at: 3 months ago - Pushed at: 4 months ago - Stars: 6 - Forks: 0

m-clark/confusionMatrix

Report various statistics stemming from a confusion matrix in a tidy fashion. 🎯

Language: R - Size: 432 KB - Last synced at: 4 months ago - Pushed at: over 5 years ago - Stars: 12 - Forks: 4

gabor-gabor/III.-Data-Science-Competition

Boosting business performance with user behavior insights from TELEPROMPTER LLC.

Language: Jupyter Notebook - Size: 0 Bytes - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Thogaruchesti-hemanth/handwrittten-digit-recognition

A deep learning project using CNN to recognize handwritten digits (0–9). Includes data normalization, model training, accuracy/loss visualization, and evaluation using confusion matrix and classification report.

Language: Jupyter Notebook - Size: 31.3 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

imildositoe/car_pedestrian_lidar_data_processing

Object detection, classification, and tracking using LiDAR data collected by a Blickfeld Cube 1 sensor.

Language: Python - Size: 18.6 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

HangOn6/CreditRiskModel_CRA_using_XGBoost_Neural_Network_Random_Forest_Regression_Sourav_Basu

Improving credit risk model using Machine learning techniques. We use a host of ml models and neural network to solve the issue.

Language: Jupyter Notebook - Size: 533 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

suhastr/Machine_Generated_Code_Detection

Code Detection Project

Language: Python - Size: 104 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mar19a/KnowledgeIsPower

Knowledge Is Power is a data analysis and prediction tool leveraging U.S. Census data to provide insights into societal topics. Utilizing machine learning, specifically MATLAB's classification learner, the project predicts educational attainment based on income and offers interactive visualizations of veterans' data.

Language: MATLAB - Size: 4.31 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SercanTeyhani/obesity-test

A machine learning pipeline to classify obesity levels from structured health and habit data using Python, scikit-learn, and Streamlit.

Language: Jupyter Notebook - Size: 1.65 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 1 - Forks: 0

KhushiRajurkar/Exoplanet-Habitability-Prediction-Model

Predicts whether an exoplanet is habitable using ML. Handles class imbalance with ADASYN, tests multiple models, and saves the best one. Includes confusion matrices, ROC curves, and a clean Jupyter notebook

Language: Jupyter Notebook - Size: 7.7 MB - Last synced at: 23 days ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

vyasdeepti/User-Purchase-Decision-using-Decision-Tree

This notebook demonstrates a complete machine learning workflow using a Decision Tree Classifier to predict user purchase decisions based on social network advertisements. The project illustrates each stage of the pipeline: data import, preprocessing, exploratory data analysis, model training, evaluation, and practical interpretation of the results

Language: Jupyter Notebook - Size: 420 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Razvan48/Proiect-Natural-Language-Processing-NLP

Proiect Natural Language Processing (NLP) Anul 3, Semestrul 2, Facultatea de Matematica si Informatica, Universitatea din Bucuresti

Language: Jupyter Notebook - Size: 132 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

arvkevi/disarray

Confusion matrix metrics directly from your pandas DataFrame

Language: Python - Size: 12.4 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 35 - Forks: 4

362heavy/Liver_Cirrhosis_Stage_Detection_System

This repository contains a system for detecting the stage of liver cirrhosis using historical patient data. It employs machine learning to analyze key medical indicators and classify patients into three distinct stages. 🦠📈

Language: Jupyter Notebook - Size: 13.9 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

mahaseva/Mobile_Phone_Pricing_Prediction_System

# Mobile Phone Pricing Prediction SystemThis project predicts the price range of mobile phones based on their specifications. Using a dataset with features like battery power and RAM, we classify phones into four price categories. 🛠️📱

Language: Jupyter Notebook - Size: 677 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

SaketJha-323/Mobile_Phone_Pricing_Prediction_System

Mobile

Language: Jupyter Notebook - Size: 674 KB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 0 - Forks: 0

Hords01/multi-model-evaluator

Multi Model Classification

Language: Python - Size: 1.68 GB - Last synced at: 5 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

ewdlop/Data-Mining

Basic Data Mining Analysis in R.

Language: R - Size: 2.5 MB - Last synced at: 6 months ago - Pushed at: 10 months ago - Stars: 0 - Forks: 0

suryadipbera1256/Epileptic-Seizure-Recognition

Machine learning techniques are increasingly applied in the classification of drugs based on biomarkers related to epileptic seizures. Various studies highlight the use of deep learning and other machine learning models to enhance seizure detection and classification from EEG data.

Language: Jupyter Notebook - Size: 431 KB - Last synced at: 2 days ago - Pushed at: 7 months ago - Stars: 1 - Forks: 0

maladoi777/breast-cancer-prediction-app

A Streamlit web application for breast cancer prediction using logistic regression. Users can input key tumor features to receive real-time prediction and confidence scores based on the Breast Cancer Wisconsin Diagnostic Dataset.

Language: Jupyter Notebook - Size: 10.2 MB - Last synced at: 6 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

mohamed554/Why-accuracy-may-be-delusional-

An exploration of why using raw accuracy for model evaluation can be misleading, with alternative metric.

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JamesCWeber/BCG-X-Data-Science-Project-Part-3-Churn-Prediction

The last task given to me while completing the BCG X Data Science microinternship. Create a Random Forest model using data from part 2. The model will predict which customers will churn and what features are influential to customer's decision to churn.

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KasrAskari/Spam-Classification

Classifies SMS messages as spam or non-spam using machine learning

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abdulwaheedal/Abdul_Waheed_CSE7_MalwareDetectionCNN

This repository contains the code and resources for a malware classification model using CNN. Key files include the CNN model (cnn_model.py), evaluation scripts, and outputs such as accuracy/loss plots, confusion matrix, and ROC curves. The project is licensed under the MIT License.

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Judiciousmurich/chest-xray-ai-classifier

A deep learning model to classify chest X-ray images into three categories: Normal, COVID-19, and Pneumonia.

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Vieira-Marola/Spam_Detection

This project focuses on detecting spam emails using a machine learning approach. Based on a dataset with word frequencies and special character occurrences, the model classifies emails as either spam or non-spam.

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alvinadar/Logistics-Regression

Implementation of logistics regression for Student pass fail and HR Retention analysis

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fayzi-dev/scikit_learn

scikit_learn

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surendiran-20cl/Credit_Score_Classification

Developed a multiclass classification system using supervised learning to predict credit score tiers from financial data. Applied EDA, feature engineering, hyperparameter tuning, and evaluated models using ROC-AUC, confusion matrices, and feature importance.

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farshad257/NLP_IMDB

A simple Bernoulli Naive Bayes model achieved 94% accuracy on the IMDB sentiment analysis task. Despite its simplicity, it performed exceptionally well.

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SedatDikbas/traditional-machine-learning

Geleneksel Makine Öğrenmesi Yöntemleri ile Çalışmalarım

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