Topic: smotetomek Goto Github
Some thing interesting about smotetomek
Some thing interesting about smotetomek
smotetomek,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.
User: anujm09
smotetomek,Personal GitHub to host and shares my academic mini-projects related to my master degree.
User: bg-mohamed
smotetomek,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.
User: chandradithya8
smotetomek,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
User: dannirodrj
smotetomek,Continuing with telemarketing model to predict campaign subscriptions in a portuguese bank institution. For this project I have evaluated the performance of four resampling techniques and selected the best one to implement the logistic model.
User: domingosdeeulariadumba
smotetomek,Предсказание оттока клиентов из банка
User: egorumaev
smotetomek,Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
User: emamulhossen
Home Page: https://github.com/EmamulHossen
smotetomek,The Repository is created to cover undersampling and oversampling methods to deal imbalance problem.
User: hasanzeynal
smotetomek,Predicting whether Insurance claims will accepted or rejected for online Travel Agencies
Organization: internship-bvoc
smotetomek,Develop Machine Learning Models to Predict the UCI Bank Telemarketing Dataset
User: liyongh1
smotetomek,Loan prediction using Random Forest, Decision tree, SMOTE and SMOTETOMEK techniques.
User: m-imani
smotetomek,Classification of an imbalanced dataset using SMOTE oversampling technique and ML Algorithms - KNN , XGBoost and Naive Bayes classifier
User: mithulmanoj
smotetomek,Identifying rare event.
User: priyankasett
smotetomek,Data Science - Random Forest Work
User: saikrishnabudi
smotetomek,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
User: sebapansecchi
smotetomek,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.
User: shanuhalli
smotetomek,This repository has the code for implementation of Principal Component Analysis, Upsampling (SMOTE), Downsampling (Random Undersampler) and combined via SMOTETomek.
User: shivtosh
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