smotetomek
There are 19 repositories under smotetomek topic.
Chandradithya8/Handling_Imbalanced_Dataset
Imbalanced data sets are a special case for classification problem where the class distribution is not uniform among the classes. Typically, they are composed by two classes: The majority (negative) class and the minority (positive) class.
shivtosh/Feature-engineering
This repository has the code for implementation of Principal Component Analysis, Upsampling (SMOTE), Downsampling (Random Undersampler) and combined via SMOTETomek.
bg-mohamed/RFS677-Y
Personal GitHub to host and shares my academic mini-projects related to my master degree.
DanniRodrJ/milling-machine_failure-prediction
Machine Learning aplicado al mantenimiento predictivo. Se realizaron 2 modelos: 1 por medio de clasificación binaria que predice si una máquina fresadora estará en riesgo de fallar o no, y el 2 modelo a través de clasificación multiclase que predecirá el modo de falla
Internship-BVoc/InsuranceClaimPrediction
Predicting whether Insurance claims will accepted or rejected for online Travel Agencies
m-imani/Predicting-Loan
Loan prediction using Random Forest, Decision tree, SMOTE and SMOTETOMEK techniques.
shanuhalli/Assignment-Random-Forest
Use Random Forest to prepare a model on fraud data. Treating those who have taxable income <= 30000 as "Risky" and others are "Good" and A cloth manufacturing company is interested to know about the segment or attributes causes high sale.
AnujM09/Cardiovascular_Risk_Prediction
Our main objective is to determine if the person will be afflicted by a coronary heart condition or not, therefore we drew several insights from that dataset that helped us understand the weighting of each feature and how they are interrelated.
egorumaev/2022-bank-customers-churn
Предсказание оттока клиентов из банка
hasanzeynal/Resampling-Techniques-For-Imbalance-Problems
The Repository is created to cover undersampling and oversampling methods to deal imbalance problem.
mithulmanoj/Classification---imbalanced-dataset---KNN-XGBoost-NaiveBayes
Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
PriyankaSett/Identifying_gamma_hadron_magic_dataset
Identifying rare event.
SebaPansecchi/DataScience-Aprobacion-Tarjetas-de-Credito
Proyecto final del curso de DataScience en CoderHouse que intenta ayudar a una entidad bancaria a la hora de decidir si emite una tarjeta de crédito al solicitante
EmamulHossen/CoustomerChunPrediction
Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
liyongh1/Telemarketing-Prediction-with-Resampling-and-ML
Develop Machine Learning Models to Predict the UCI Bank Telemarketing Dataset
saikrishnabudi/Random-Forest
Data Science - Random Forest Work