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Projects in Awesome Lists tagged with classification-model

A curated list of projects in awesome lists tagged with classification-model .

https://github.com/dominance-analysis/dominance-analysis

This package can be used for dominance analysis or Shapley Value Regression for finding relative importance of predictors on given dataset. This library can be used for key driver analysis or marginal resource allocation models.

classification-model dominance dominance-analysis dominance-statistics feature-engineering feature-importance feature-selection keydrivers logistic-regression multiple-regression predictor predictor-importance pseudo-r-square r-square regression-models relative-importance shapley-value

Last synced: 12 Nov 2024

https://github.com/yuanxiaosc/multimodal-short-video-dataset-and-baseline-classification-model

500,000 multimodal short video data and baseline models. 50万条多模态短视频数据集和基线模型（TensorFlow2.0）。

classification-model multimodal-datasets tensorflow-models video-dataset

Last synced: 12 Nov 2024

https://github.com/cjekel/tindetheus

Build personalized machine learning models for Tinder using Python

classification-model computer-vision database facenet facenet-models machine-learning machinelearning python tinder

Last synced: 19 Dec 2024

https://github.com/nghuyong/bert-classification-tf-serving

Use BERT to train a classification model and deploy the model by tensorflow serving

bert classification-model tensorflow tensorflow-serving

Last synced: 10 Nov 2024

https://github.com/trinker/termco

Regular Expression Counts of Terms and Substrings

classification-model frequent-terms r regex regex-model regular-expression terms-count

Last synced: 27 Oct 2024

https://github.com/emuell/afec

Cross platform audio feature extraction and sound classification tool

afec audio-classification audio-feature-extraction audio-features audio-formats classification-model lightgbm machine-learning

Last synced: 16 Oct 2024

https://github.com/mamba413/bess

Best Subset Selection algorithm for Regression, Classification, Count, Survival analysis

classification-model feature-selection poisson-regression regression-models sparse-linear-systems survival-analysis variable-selection

Last synced: 28 Oct 2024

https://github.com/dnum-mi/basegun

Web app for identifying a firearm based on a picture

classification-model firearms python pytorch vue

Last synced: 18 Nov 2024

https://github.com/chinmayrane16/titanic-survival-in-depth-analysis

Used Pandas , Matplotlib , Seaborn libraries to Analyze , Visualize and Explore the data of people travelling on Titanic, and Used Scikit-learn Modelling Algorithms to predict their probability of Survival.

classification-model data-cleaning data-visualization feature-engineering matplotlib numpy pandas seaborn

Last synced: 27 Oct 2024

https://github.com/aravind-selvam/forest-fire-prediction

Project for Predicting Algerian Forest Fires and Fire Weather Index Using Machine Learning with Python.

classification-model data-science flask-application jupyter-notebook machine-learning ml prediction-model python regression-models sklearn

Last synced: 14 Nov 2024

https://github.com/asaficontact/project_floodlight

Crisis incidents caused by rebel groups create a negative influence on the political and economic situation of a country. However, information about rebel group activities has always been limited. Sometimes these groups do not take responsibility for their actions, sometimes they falsely claim responsibility for other rebel group’s actions. This has made identifying the rebel group responsible for a crisis incident a significant challenge. Project Floodlight aims to utilize different machine learning techniques to understand and analyze activity patterns of 17 major rebel groups in Asia (including Taliban, Islamic State, and Al Qaeda). It uses classification algorithms such as Random Forest and XGBoost to predict the rebel group responsible for organizing a crisis event based on 14 different characteristics including number of fatalities, location, event type, and actor influenced. The dataset used comes from the Armed Conflict Location & Event Data Project (ACLED) which is a disaggregated data collection, analysis and crisis mapping project. The dataset contains information on more than 78000 incidents caused by rebel groups that took place in Asia from 2017 to 2019. Roughly 48000 of these observations were randomly selected and used to develop and train the model. The final model had an accuracy score of 84% and an F1 Score of 82% on testing dataset of about 30000 new observations that the algorithm had never seen. The project was programmed using Object Oriented Programming in Python in order to make it scalable. Project Floodlight can be further expended to understand other crisis events in Asia and Africa such as protests, riots, or violence against women.

acled asia classification-model crisis grid-search grid-search-hyperparameters matplotlib object-oriented-programming pandas python3 random-forest sklearn xgboost-model

Last synced: 27 Oct 2024

https://github.com/tempdata73/tic-tac-toe

Play Tic Tac Toe against the computer using OpenCV and Keras

classification-model computer-vision opencv

Last synced: 21 Nov 2024

https://github.com/noraj/xss-classification-model

:speech_balloon: XSS classification model - Types of Cross-Site Scripting

classification-model cross-site-scripting xss xss-classification-model

Last synced: 07 Nov 2024

https://github.com/dnth/huggingface-timm-mobile-blogpost

Bringing High-Quality Image Models to Mobile: Hugging Face TIMM Meets Android & iOS

android classification-model computer-vision dart disease-prediction flutter huggingface image ios python

Last synced: 06 Dec 2024

https://github.com/repetere/jsonstack-model

Deep Learning Classification, LSTM Time Series, Regression and Multi-Layered Perceptrons with Tensorflow

ai classification-model deep-learning machine-learning multivariate-linear-regression nlp-machine-learning tensorflow

Last synced: 08 Nov 2024

https://github.com/tushar-ml/darkneuron

This Library will deal with the implementation of Automatic Deep Learning which can reduce the time and Complexity for non-technical users and Specialists in this field to train their own networks with significant accuracies and can perform Image Classification, Object Detection and hybridization of Models.

automation-framework classification-model keras keras-tensorflow object-detection python yolov4

Last synced: 28 Oct 2024

https://github.com/ichowdhury01/quantum-nlp-circuit-visualizer-and-text-classifier

An API that uses the Quantum NLP library lambeq to build and visualize quantum circuits and train a text classifier with 93% accuracy

classification-model discocat lambeq natural-language-processing python quantum-computing

Last synced: 13 Dec 2024

https://github.com/noraj/xss-classification-model-slideshow

:spiral_notepad: A presentation about XSS classification model - Types of XSS evolution

classification-model cross-site-scripting presentation slideshow xss xss-classification-model

Last synced: 07 Nov 2024

https://github.com/rikcav/pokemanos

Projeto para descobrir o tipo de um Pokémon através de suas características básicas. Desenvolvido na disciplina da Inteligência Artificial.

ai ai-algorithms artificial-intelligence classification classification-algorithm classification-model pokemon

Last synced: 20 Nov 2024

https://github.com/devopsthinh/ai-tensorflow-2

Understanding Machine Learning and Unleash the Power of TensorFlow by Training Classification models for Image Recognition.

artificial-intelligence classification-model convolutional-neural-networks fashion-mnist image-classification image-recognition machine-learning mnist-dataset tensorflow tensorflow2

Last synced: 22 Nov 2024

https://github.com/asigalov61/B-CLassi

Full-featured binary MIDI classifier implemented in TensorFlow

classification-model classifier midi midi-classification music-ai tensorflow

Last synced: 22 Nov 2024

https://github.com/sarthak-1408/indian-food-classification

This Repo Represents Indian Food Classification and with the help of this project you can easily identify the Indian food

classification-model deep-learning deep-neural-networks flask flask-application image-classification keras-neural-networks keras-tensorflow tensorflow

Last synced: 16 Nov 2024

https://github.com/gokulnpc/wine-quality-prediction

This web app is created to predict the quality of red wine based on the input features. The model is trained using the Random Forest Classifier algorithm.

classification-model machine-learning random-forest-classifier stream

Last synced: 07 Dec 2024

https://github.com/gokulnpc/titanic-survival-prediction

This web app is a simple Titanic Survival Prediction web app. The web app uses a logistic regression model to predict whether the mail is spam or not.

classification-model logistic-regression machine-learning streamlit

Last synced: 07 Dec 2024

https://github.com/redayzarra/cnn_trafficsigns

This is a machine learning project where I utilized the LeNet-5 architecture to create a convolutional deep network that classifies 43 different kind of traffic signs. I've made sure to include a full step-by-step implementation of the project as well as detailed notes for every step.

classification classification-model computer-vision deep-learning deep-neural-networks lenet lenet-5 lenet-architecture machine-learning model-evaluation model-selection

Last synced: 27 Nov 2024

https://github.com/datarohit/pima-indians-diabetes-classification

This is a very popular Kaggle Dataset for practicing Classification and EDA. A detailed Statistical Analysis with EDA and many Plots has been done.

classification-algorithims classification-model machine-learning-algorithms matplotlib-pyplot numpy pandas seaborn sklean

Last synced: 05 Nov 2024

https://github.com/nafisalawalidris/logistic-regression-model-for-breast-cancer-recurrence-prediction

Predicting Breast Cancer Recurrence - A logistic regression model using patient attributes to classify recurrence risk. Dataset analysis and model evaluation. Contributions welcome.

breast-cancer classification-model data-analysis data-science healthcare logistic-regression machine-learning python recurrence-prediction scikit-learn

Last synced: 22 Nov 2024

https://github.com/michelmf/projeto_tb

Applying machine learning models to detect tuberculosis during screening process.

boosting-tree classification-model data-mining data-visualization machine-learning python tuberculosis

Last synced: 04 Dec 2024

https://github.com/aaditagarwal/classification_of_caffeine

A classification project to classify various caffeine products into coffee types using Fourier Transformed Infrared Spectroscopes of products.

caffeine-classification classification-model data-visualization ftir-data-analysis

Last synced: 16 Nov 2024

https://github.com/akinbicer/turkish-compliment-classification-with-nlp

This repository contains a Python script for training, evaluating, and deploying a Natural Language Processing (NLP) model for classifying compliments in Turkish language. The model is trained using the Multinomial Naive Bayes algorithm and is saved in ONNX and Joblib formats for deployment.

classification classification-algorithm classification-model compliment-generator deel-learning joblib machine-learning multinomial multinomial-naive-bayes natural-language-processing nlp nlp-deep-learning nlp-machine-learning onnx onnx-models onnx-tf python turkish-compliment-classification turkish-nlp

Last synced: 07 Nov 2024

https://github.com/d4vidsha/food-groups-classification-model

A machine learning model that uses nutrition information to classify foods into food groups.

classification-model food machine-learning nutrition-information

Last synced: 06 Nov 2024

https://github.com/exsandebest/mts-teta-hackathon

(RU) Hosts classification - MTS.Teta hackathon project

classification-model hosts hosts-classification jupyter-notebook python streamlit

Last synced: 12 Nov 2024

https://github.com/queen-esther01/ai-landmark-prediction-server

A Nodejs server that enables you train, publish and predict a custom vision model that can recognize landmarks on Azure

ai azure azure-custom-vision classification-model nodejs prediction-model typescript

Last synced: 23 Nov 2024

https://github.com/sonu275981/breast-cancer-prediction

Breast Cancer Classification using Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbours (K-NN), Support Vector Machine (SVM), GaussianNB and Random Forest which is a supervised learning method to detect breast cancer are used.

breast-cancer-prediction breastcancer-classification cancer classification-model knearest-neighbor-classifier logistic-regression machine-learning medical python random-forest supervised-learning support-vector-machine

Last synced: 05 Nov 2024

https://github.com/easonlai/diabetes_prediction_lr_xgb

This is a sample code repository to leverage classic "Pima Indians Diabetes" from UCI to perform diabetes classification by Logistic Regression & Gradient Boosting algorithms.

classification classification-algorithm classification-model diabetes diabetes-prediction gradient-boosting gradient-boosting-algorithm logistic-regression logistic-regression-algorithm python python3 sklearn xgboost

Last synced: 10 Nov 2024

https://github.com/gokulnpc/dog-vs-cat-classification

This web app is a simple image classification app that uses a pre-trained model to classify images of dogs and cats. The model is trained using the MobileNet V2 architecture with ImageNet pre-trained weights. This is a SavedModel in TensorFlow 2 format. Using it requires TensorFlow 2 (or 1.15) and TensorFlow Hub 0.5.0 or newer.

classification-model deep-learning machine-learning neural-networks streamlit

Last synced: 07 Dec 2024

https://github.com/gokulnpc/spam-mail-prediction

This web app is developed to predict whether a mail is spam or not. The model is built using the Logistic Regression algorithm.

classification-model logistic-regression machine-learning streamlit

Last synced: 07 Dec 2024

https://github.com/gokulnpc/breast-cancer-classification

This web app is created to classify the Breast Cancer into Benign and Malignant. The model is built using the Logistic Regression algorithm.

classification-model logistic-regression machine-learning streamlit

Last synced: 07 Dec 2024

https://github.com/hasansust32/phishing_detection_using_machine_learning

This is a completely machine-learning based task. We used a dataset from kaggle with 1154 website details with 32 features. More significantly, we experimented with a considerable number of machine learningmethods on actual phishing datasets and against various criteria. We identify phishing websites using six distinct machine learningclassification methods. This research obtained a maximumachievable accuracy rate of 97.17 percent for the Random Forestrule and 94.75 percent for the Gradient Boost Classifier. The Provisioningaccuracy is 94.69 percent with the Decision Tree classifier, 92.76 percent with Logistic Regression, 60.45 percent with KNN, and 56.04 percent with SVM.

classification-model machine-learning phishing phishing-attacks phishing-detection security-vulnerability

Last synced: 25 Nov 2024

https://github.com/sumukus/audio-word-classification

Audio Word Classification using Random Forest Classifier algorithm

audio-classification classification-model flask heroku python3 random-forest-classifier

Last synced: 14 Nov 2024

https://github.com/mh0386/logistic_regression

This code about K-Fold Validation is applied to Logistic Regression.

classification-model k-fold-cross-validation logistic-regression

Last synced: 07 Nov 2024

https://github.com/mh0386/iris_classification

An Iris Classification Model

classification-model machine-learning

Last synced: 07 Nov 2024

https://github.com/kruthiktr/titanic-survival-prediction

Titanic Survival Prediction using Machine Learning predicts whether a passenger survived based on features like age, gender, and class. A Random Forest Classifier achieved 82.68% accuracy after data preprocessing. Explore this project to see how machine learning handles this classic problem.

classification classification-model data-visualization machine-learning predictive-modeling python titanic-dataset titanic-survival-prediction

Last synced: 05 Nov 2024

https://github.com/eudesgccunha/customer-churn-app

Desenvolvimento de um modelo de classificação para churn com apresentação no streamlit do dataset Telco do Kaggle.

churn-prediction classification-model python streamlit

Last synced: 05 Dec 2024

https://github.com/jtatman/ml-video-game-analysis-synthetic

A processing of a simplified video game dataset using k-nearest neighbors, and using Synthetic Data Vault and Regression/Classification models to verify synthetic model accuracy

analysis classification-model k-nearest-neighbours ml regression-analysis sdv sklearn

Last synced: 10 Oct 2024

https://github.com/farooqueesamiya/social-network-ads-classification-models

In this repository, we will explore different classification models to predict whether a user will purchase a product based on age and estimated salary.

classification-model decision-tree-classifier knn-classifier linear-kernel logistic-regression naive-bayes-classifier random-forest-classifier rbf-kernel support-vector-machine svc-model

Last synced: 23 Nov 2024

https://github.com/fabricioarendtorres/streamauc

Light-weight package for classification metrics computed on streams or minibatches of data. Mainly for area under the curve (AUC) of precision-recall (PR) or receiver operating characteristic (ROC) curves. Supports multi-class setting with either macro- or micro aggregation..

classification-model machine-learning metrics numpy precision-recall-curve receiver-operating-characteristic

Last synced: 11 Oct 2024

https://github.com/samuelbarbosadev/fraud_detection_in_vehicle_insurance

Com objetivo de reduzir custos, uma seguradora está reformulando o processo de análise de fraudes em acionamentos de seguros de automóveis. Essa fraude ocorre da seguinte forma, o solicitante aciona o seguro alegando um acidente e danos que não ocorreram de fato. Na verdade, foram simulados de alguma forma.

churn-prediction classification-model data-cleaning imbalanced-data machine-learning pipeline python skit-learn

Last synced: 29 Nov 2024

https://github.com/lambdacasserole/classr

Train microclassifiers in the cloud for spam detection, sentiment analysis and more.

classification classification-model machine-learning mlaas naive-bayes naive-bayes-classifier saas t3-stack vercel

Last synced: 20 Dec 2024

https://github.com/alyssonmach/deploy-to-heroku-app

An interactive application to ... identify 🐱 in images (neural network of l-layers).

classification-model deep-neural-networks heroku-deployment python streamlit

Last synced: 06 Nov 2024

https://github.com/jatin-mehra119/loan-approval

This repository contains all the scripts used for the Loan Approval Kaggle competition. I utilized MLflow to track experiments, save models, and identify the best-performing model based on cross-validation scores. FastAPI APP for making predictions.

classification-model ensemble-model fastapi-app mlflow

Last synced: 14 Dec 2024

https://github.com/cmdecker95/spaceship_titanic

Predicting the interdimensional transportation of interstellar passengers 🌌

classification-model kaggle-competition kaggle-titanic keras-neural-networks machine-learning

Last synced: 21 Dec 2024

https://github.com/mrseanryan/csfy

Train a simple text classifier and predict labels - supports ONNX output for performance, language-neutral

classification-model classifier classifier-model ml ml-training

Last synced: 07 Nov 2024

https://github.com/mauriciovazquezm/skin_cancer_detection_project

A technological solution is sought that enables individuals to assess their own skin lesions through automated image analysis, thereby facilitating early detection and improving patient outcomes.

cancer-detection classification-model data-mining health-check neural-network pytorch tensorflow

Last synced: 05 Nov 2024

https://github.com/kplanisphere/analysis-of-political-texts

Analysis and Classification System of Political Texts Using Natural Language Processing - Final Project for the Information Retrieval Course

classification-model data-science data-visualization deep-learning information-retrieval machine-learning natural-language-processing neural-network nlp nlp-machine-learning

Last synced: 07 Nov 2024

https://github.com/mohammad95labbaf/outlier-imbalanced-fraud-detection

The Credit Card Fraud Detection project uses statistical techniques and machine learning for identifying fraudulent transactions. It includes data preprocessing, outlier detection using Boxplots and Z-scores, and a decision tree model. Evaluation goes beyond accuracy, considering precision, recall, F1-score, and ROC AUC.

boxplot classification-model credit-card credit-card-fraud credit-card-fraud-detection decision-tree decision-tree-classifier fraud-detection imbalanced-classification imbalanced-data outlier-detection outlier-removal z-score

Last synced: 14 Nov 2024

https://github.com/tech-espm/misc-webbot

This project is aimed on creating personal assistants for replying messages about specifics issues.

classification-model crawler nlp

Last synced: 12 Nov 2024

https://github.com/trixky/digit_classifier

An online digit classifier using the multi-layer perceptrons (MLP) model.

classification-model mlp mnist mnist-dataset multilayer-perceptron tensorflow tensorflowjs

Last synced: 23 Nov 2024

https://github.com/trixky/fashion_cnn

An online convolutional neural network (CNN) model for classifying fashion items.

classification-model convolutional-neural-network mlp mnist mnist-fashion multilayer-perceptron tensorflow tensorflowjs

Last synced: 23 Nov 2024

https://github.com/yukta026/eye_disease_prediction

Detection and Classification of Eye Diseases: Diabetic Retinopathy, Cataract, and Glaucoma Using CNN

classification-model cnn-classification cnn-keras cnn-tensorflow data-augmentation machine-learning prediction-model python3

Last synced: 10 Nov 2024

https://github.com/allenpandas/yolov5-v6.2-classification

YOLOv5-v6.2-Classification-Models | 基于YOLOv5-v6.2版本创建的分类检测模型

classification classification-model efficientdet efficientnetb0 efficientnetb1 resnet-101 resnet-18 resnet-34 resnet-50 yolo yolov5

Last synced: 23 Nov 2024

https://github.com/sumukus/image-classification

A small micro project on image classification using machine learning algorithms

classification-model image-classification maching-learning python3

Last synced: 14 Nov 2024

https://github.com/ahmedrafat-sw/spam-detection-model

Spam detection model using Python and Logistic Regression Algorithm for detecting Spam emails or messages

classification-algorithm classification-model logistic-regression machine-learning python spam-detection

Last synced: 13 Nov 2024

https://github.com/hariprasath-v/techgig---data-science---2022

create a model to classify the raisin based 7 morphological features are extracted from images

classification-model exploratory-data-analysis jupyter-notebook machine-learning matplotlib pandas pycaret python seaborn techgig

Last synced: 13 Nov 2024

https://github.com/nouranhaitham/ml_loanprediction

A notebook aimed to predict loan eligibility with high accuracy using advanced machine learning models including Logistic Regression and KNN.

classification-model decision-making insights knn-classifier loan-prediction-analysis logist logistic-regression machine-learning python regression-models

Last synced: 15 Nov 2024

https://github.com/arkaung/cardenity

Classify car manufacturers and models from images

classification-model deep-learning

Last synced: 17 Nov 2024

https://github.com/codewithpraveen/labs-azureml-classification

Repo for the "Building a No-Code Classification Model with Azure Automated ML" hands-on lab.

azure-automl azure-machine-learning classification-model

Last synced: 01 Dec 2024

https://github.com/mecha-aima/fake-bills-detection

This Python project implements a simple classification model comparison using scikit-learn to classify banknotes as either "Authentic" or "Counterfeit" based on four features

classification-model machine-learning model-selection scikit-learn

Last synced: 22 Nov 2024