SNBQT/Limited-Data-Rolling-Bearing-Fault-Diagnosis-with-Few-shot-Learning

This is the corresponding repository of paper Limited Data Rolling Bearing Fault Diagnosis with Few-shot Learning

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SakinaJaffri/British_Airway_Virtual_Internship

Web Scrapping British Airways review to gain company insights. Build a random forest model to predict customer buying behavior.

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SherineTarek224/Credit_Fraud_Detection

This Project focuses on building a Fraud Detection using highly unbalanced Dataset from Kaggle of 170,884 and 305 frauds only using different machine learning models. Using Logistic Regression ,RandomForest and Neural Networks with preprocessing on Training Dataset and hyperparameters Tuning

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RS2002/Label-Unbalance-in-High-Frequency-Trading

Official Repository for The Technical Report, Label Unbalance in High-frequency Trading

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SaeidRostami/Customer_Churn

Customer churn analysis for a telecommunication company

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Maguids/Enhanced_KNN

This project consists on improving KNN to be able to better deal with imbalanced classes. Project for the "Machine Learning" course on the Second Semester of the Second Year of the Bachelor's Degree in Artificial Intelligence and Data Science.

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AnneQuinkenstein/AccidentsInBerlin

Mithilfe von Machine Learning und Open Data zu Unfällen in Berlin (2018-2021) beantworten wir folgende Frage: Was sind die wichtigen Faktoren/Einflüsse auf Unfallgefahr? Und wie gut lässt sich damit die Unfallschwere überhaupt vorhersagen?

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arianaira/mlp-unbalanced-classification

predicting showing up to doctor's appointment using mlp on imbalance dataset.

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WojciechMigda/TCO-CustomerChurn

Customer Churn (Drop Off) Modeling

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Safaa-p/Machine-Failure-Prediction

Predicting Machine failure using Machine learning on a synthetic dataset of an existing milling machine consisting of 10,000 data points

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Leoelsilva/predictiveanalytics

(Python) Proyecto enfocado en la creación de modelos predictivos como Regresión Logistica, Arboles de Decisión, KNN, SVM, Naive Bayes y Ensamblados. Inicialmente el problema consta de un analisis crediticio de clientes buenos/malos. Se utiliza una BBDD de clases desbalanceadas la cual se limpia y procesa para alimentar los modelos

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garick161/alpha_bank_cup_challenge_final

Разработка алгоритма привлечения новых клиентов банка

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epicure24/Classifier-for-highly-unbalanced-data

This repo represents all the resampling techniques needed to achieve better results in highly unbalanced or skewed data that has 77 % of data in one class and rest in others.

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Go-MinSeong/Predicting-whether-your-mail-will-be-read

predicting whether you read mail

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newsteps8/Term-Deposit-Prediction

Unbalanced Customer Data

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evanotero/deep-music-genre-classification

🎵 Using Deep Learning to Categorize Music as Time Progresses Through Spectrogram Analysis

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pminguez/MachineLearning4UnbalancedData

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Albertsr/Class-Imbalance

Cost-Sensitive Learning / ReSampling / Weighting / Thresholding / BorderlineSMOTE / AdaCost / etc.

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LN5user/starbucks

How A/B Testing and Machine Learning can efficiently improve your marketing strategies and saving costs

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jaymax01/predicting-customer-purchases

classification of online purchasing rates

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celestialtaha/Unbalanced-dataset-Classification

Classification on Unbalanced Datasets using Boost Techniques (AdaBoost M2, SMOTE Boost, RusBoost,..)

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mjuez/ensemble-classification-imbalance-bigdata

⚖⚡ Experimental evaluation of ensemble classifiers for imbalance in Big Data.

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taisakamisarava/Employee-Salary-prediction

The model aimed at prediction of employee's salary

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mustafahakkoz/Advertisement-CTR-Prediction

A submission for HUAWEI - 2020 DIGIX GLOBAL AI CHALLENGE

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jCodingStuff/NLPReddit

Multinomial classification tasks in Reddit

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BurakMarangoz/PreProcessing

Preprocessing Analysis

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ComputingVictor/Datathon_Allianz

Model created by the Team 6 for the I Data Talent Program of Allianz

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Abletobetable/rails-champ

Цифровой прорыв - чемпионат Новосибирской области - классификация объектов железной дороги

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GayatriSharma23/Autism-Prediction

It's a classification model that predict whether an individual will suffer from autism in future or not

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ValeriaPineda23/Loan-Eligibility-Predictions

Applying CRISP-DM methodology for predicting Loan Elegibility

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kpratikin/Credit-Card-Fraud

Identify fraudulent credit card transactions so that customers are not charged for items that they did not purchase. (Python, Logistic Regression Classifier, Unbalanced dataset).

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rematchka/Intended-Sarcasm-Detection-In-English-and-Arabic-for-extremly-unbalanced-datasets

This repo contains work carried out for SemEval 2022 Task 6: iSarcasmEval: Intended Sarcasm Detection In English and Arabic

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IsabelleContant/P7_dashboard_streamlit

Projet réalisé dans le cadre du parcours diplômant de Data Scientist d'OpenClassrooms (projet n°7)

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eric-blankinshp/Credit_Risk_Analysis_Supervised_ML

About Six different techniques are employed to train and evaluate models with unbalanced classes. Algorithms are used to predict credit risk. Performance of these different models is compared and recommendations are suggested based on results. Topics

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burning-river/Assembly_Bias

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JCupe17/fake-users

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agomolka/AutomateDealingWithImbalance

Process of dealing with imbalanced data set and classification

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dadavalangege/Classification_Models

Classfying an unbalanced data set of delayed flights with the help of SMOTE and comparing the performance of three different classification models (Decision Tree, Logistic Regression, XGBoost).

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gprzy/stroke-prediction

🩺 Machine Learning applied to stroke prediction for unbalanced data

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vipul-shinde/customer-churn-prediction

Customer Churn Prediction for a Telecom company using ML.

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hayatMohaAl/project_BAN

unbalanced class classification with deep learning

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GabrielSandoval/plentina

Fraud detection based on 6 million transactions

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tarun360/Adversarial-Attack-on-3D-U-Net-model-Brain-Tumour-Segmentation.

Adversarial Attack on 3D U-Net model: Brain Tumour Segmentation.

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AkashSDas/cassava-leaf-disease-classification

Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.

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burning-river/KaggleCreditCardFraud

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soroushjavdan/RandomBalanceBoost

Implementation of Random Balance Algorithm

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mmaguero/textcat-josa

Train JOSA (Jopara Sentiment Analysis) corpus with traditional machine learning algorithms.

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AkashSDas/predict-hr-stay-or-leave

Sampling unbalanced dataset using SMOTE and creating a classifier to classify if a HR will stay or leave.

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MaryemSamet/Parkinson-diagnostic

Parkinson diagnostic with supervised and unsupervised machine learning

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RickFSA/Lending_Club_Default_Prediction

Classify default borrowers from initial loan application for Lending Club

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roronoasins/in-ugr

Repositorio de la asignatura Inteligencia de Negocio cursada en la UGR. curso 2020-21

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mahaveer-rulaniya/Classification-models

Train different classification models on the unbalanced dataset and applying different evaluation methods to it.

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AdamRajfer/lending-club

Binary classification with unbalanced tabular data

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panambY/Human_Activity_Recognition

Predict the activity category of a human.

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OddExtension5/Credit_Card_Fraud_Detection

Kaggle Project : Anonymized credit card transactions labeled as fraudulent or genuine

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SimarjotKaur/Customer-Churn-Prediction

To predict whether the customers will subscribe to the system after 1-month free trial or not.

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vedpbharti/Machine_Learning

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yuneming/UnbalancedDataLearning

research on unbalanced data problems

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yulguseva/classification_anonimized_data

Prediction of a productional appliance readings based on anonimized data.

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KwokHing/Visualizing-Datasets-with-Facets

Demo on using Facets: An Open Source Visualization Tool for Machine Learning Training Data developed by Google's PAIR Initiative

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