Topic: oversampling-technique Goto Github
Some thing interesting about oversampling-technique
Some thing interesting about oversampling-technique
oversampling-technique,Predict if a transaction is a fraud transaction or not, also, dealing with unbalanced data and finding the pattern using correlation between the features.
User: aabritidutta
oversampling-technique,The LEED Predictor project is designed to forecast the likelihood of buildings achieving LEED (Leadership in Energy and Environmental Design)
User: aakashsyadav1999
oversampling-technique,There are a number of classification algorithms that can be used to determine loan elgibility. Some algorithms run better than others. We built a loan approver using different Supervised Machine Learning algorithms and compared their accuracies and performances
User: abidor13
oversampling-technique,Player Rating System in Soccer using Machine Learning
User: abis330
oversampling-technique,Prediction of occurrences of a bee species in the Iberian Peninsula 🐝
User: afonsopaula
oversampling-technique,Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.
User: ai-14
oversampling-technique,
User: anushaghimire
oversampling-technique,Predicting Credit Risk with undersampling, oversampling, and ensemble methods across various machine learning algorithms.
User: aolayeye
oversampling-technique,
User: arvindhh931
oversampling-technique,Competition conducted by American Express on HackerEarth Platform to Predict Credit Card Defaulters by building Machine Learning Models for the given data.
User: bibhuprasadpanda97
Home Page: https://www.hackerearth.com/challenges/competitive/amexpert-code-lab/
oversampling-technique,Predictive Modeling of Credit Risk Faced by a P2P lending platform
User: cljuro
oversampling-technique,Cerebral stroke, a critical condition, demands vigilant analysis. Machine learning models, coupled with resampling techniques like SMOTEENN, enhance stroke prediction accuracy by addressing imbalanced datasets.
User: demon-2-angel
oversampling-technique,Beginner friendly project focusing on dataset imbalances using the oversampling and under sampling techniques
User: emeraldugbeyide93
oversampling-technique,
User: gabrielecola
oversampling-technique,In this project, I worked on a classification problem using an imbalanced dataset which predicts ecological footprints. The aim of the project was not necessarily to build a classification model but to investigate the different methods of correcting an imbalanced dataset in order not to build a biased classifier
User: godson199
oversampling-technique,This notebook tries to make fraud/not fraud predictions on a transactions dataset with highly imbalanced data.
User: jincy-p-janardhanan
oversampling-technique,Project for predicting strokes from healthcare data for INDE 577 (Spr. 23) at Rice University
User: joshyaffee
oversampling-technique,Data from a website that provides job reviews. The website wants to analyze texts and the corresponding rating that is provided by the user about startups. Based on the texts, try to verify if it corresponds to the score provided by the reviewer. the task helps the website to rank user's reviews or ratings
User: kumaranurag7
oversampling-technique,Classification of Fraudulent Transactions in Mobile Based Payments
User: manideep-d
oversampling-technique,Analysis and classification using machine learning algorithms on the UCI Default of Credit Card Clients Dataset.
User: matteom95
Home Page: https://archive.ics.uci.edu/dataset/350/default+of+credit+card+clients
oversampling-technique,Assess credit risk of applicants using supervised machine learning. Several different machine learning techniques such as SMOTE, SMOTEENN, RANDOM FOREST, EASY ENSEMBLE were applied, the models were assessed using accuracy score, precision and accuracy to choose the best technique that applies to this type of problem.
User: mdabbous88
oversampling-technique,This project is based on supervised machine learning where you will be predicting whether a credit card transaction is original transaction or fraud transaction based on various parameters. This is a classification problem.
User: nafisa-samia
oversampling-technique,It is a NLP project.The business objective was to predict whether the message is a spam or a ham.
User: naveen-gowda-2525
oversampling-technique,Many algorithms for imbalanced data support binary and multiclass classification only. This approach is made for mulit-label classification (aka multi-target classification). :sunflower:
User: phiyodr
oversampling-technique,In this Classification Machine Learning Project, we will be analysing the dataset taken from www.kaggle.com related to details of credit card owners. This data consists of features like Gender, Income type, House type, marital status and many more. Our focus will be on analysing the data, getting the insights related to these features and there role in affecting the target, we will perform feature engineering, feature selection and develop a Classification model that will predict whether it is a Fraud or not based on the new data.
User: prankur16shukla
oversampling-technique,In this project, I explore different methods for detecting credit card fraud transactions; including using the Catboost algorithm with undersampling & oversampling methods, and using an almost new approach, by using deep learning and autoencoder.
User: ramtiin
oversampling-technique,Generative based data augmentation for ACPs
User: sadik90
oversampling-technique,Detect potential frauds so that customers are not wrongly charged for items that they did not purchase.
User: sailyshah
oversampling-technique,Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810
User: shiranzada
oversampling-technique,Spam messages detection model
User: sophy8281
oversampling-technique,A machine learning project to predict Customers/Clients into correct segment to provide promotional information or for product advertising.
User: sprcoder
oversampling-technique,Building a machine learning model to check bank frauds
User: thethugnomist
oversampling-technique,This project simulates a M.L system tha aproves or not loans to determinate bank. Working with imbalanced database some resources can be apllied for mitigate erros and prevent money loss.
User: tiagononohay
oversampling-technique,Advanced Machine Learning
User: vicaaa12
oversampling-technique,This project provides a comprehensive analysis of the Eurovision Song Contest, with insights derived from both traditional statistical methods and machine learning techniques.
User: yourssincerely
oversampling-technique,Credit Card Fraud Detection
User: yujansaya
Home Page: https://www.kaggle.com/code/yujansaya/credit-card-fraud-detection
oversampling-technique,Machine Learning projects
User: zaha2020
oversampling-technique, An assessment of logistic regression model performance in predicting customer loan worthiness using loan size, interest rate, borrower income, debt-to-income ratio, number of credit accounts, derogatory marks, and total debt as predictive factors.
User: zonaj2
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