smotetomek

There are 0 repository under smotetomek topic.

Data-Science-Portfolio
EmilienN / Data-Science-Portfolio
machine-learning-supervised machine-learning-unsupervised data-visualization logistic-regression random-sampling ridge lasso elastic-net random-forest smotetomek bokeh-map adaboost xgboost k-means-clustering dbscan-clustering stacking voting deep-learning lstm-neural-networks nlp
Language:Jupyter Notebook 9
Internship-BVoc / InsuranceClaimPrediction
Predicting whether Insurance claims will accepted or rejected for online Travel Agencies
machine-learning imbalanced-learning smotetomek xgboost random-forest-classifier causality-analysis explainable-ai
Language:Jupyter Notebook 3
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.
oversampling undersampling smotetomek
Language:Jupyter Notebook 2
MoinDalvs / Assignment_Decision_Tree_2
adasyn-sampling data-science decision-trees imbalanced-data smote-oversampler smoteenn smotetomek
Language:Jupyter Notebook 2
MoinDalvs / Assignment_SVM_Forest_Fire_Prediction
adasyn-sampling auc-roc-curve data-science hyperparameter-tuning kernel-trick regularization smote-sampling smoteenn smotetomek svm-classifier svm-kernel
Language:Jupyter Notebook 2
bg-mohamed / RFS677-Y
Personal GitHub to host and shares my academic mini-projects related to my master degree.
python3 data-visualization text-classification statistics knn-classifier kmeans-clustering nmf-decomposition smotetomek sarimax xgboost-algorithm autoregressive time-series dnn cnn-keras transfer-learning shap tensorflow kerastuner data-science machine-learning
Language:Jupyter Notebook 1
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
binary-classification catboost-classifier decision-tree-classifier gridsearchcv logistic-regression near-miss optuna pickle-file python randomsearch sklearn smotetomek svm-classifier multilabel-classification
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domingosdeeulariadumba / MarketingCampaignPrediction2
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.
adasyn auc-roc-curve imbalanced-data logistic-regression smote smoteenn smotetomek
Language:Python 1
m-imani / Predicting-Loan
Loan prediction using Random Forest, Decision tree, SMOTE and SMOTETOMEK techniques.
decision-trees random-forest smote smote-sampling smotetomek
Language:Jupyter Notebook 1
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.
adasyn classification counter feature-selection grid-search-cv imbalanced-data imblearn machine-learning pipeline random-forest sklearn-metrics smote smotetomek standard-scaler assignment-15
Language:Jupyter Notebook 1
shivtosh / Feature-engineering
This repository has the code for implementation of Principal Component Analysis, Upsampling (SMOTE), Downsampling (Random Undersampler) and combined via SMOTETomek.
class imbalanced-data oversampling pca smote smotetomek undersampling
Language:Jupyter Notebook 1
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.
classification-algorithm classification-model machine-learning smotetomek
Language:Jupyter Notebook 0
egorumaev / 2022-bank-customers-churn
Предсказание оттока клиентов из банка
adasyn classification imbalanced-learn pandas phik random-undersampling sklearn smote smotetomek
Language:Jupyter Notebook 0
hasanzeynal / Resampling-Techniques-For-Imbalance-Problems
The Repository is created to cover undersampling and oversampling methods to deal imbalance problem.
adasyn cnn enn random-over-sampling smote smoteenn smotetomek tomek-link
Language:Jupyter Notebook 0
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
knn naive-bayes-classifier xgboost exploratory-data-analysis feature-engineering feature-selection model-building model-evaluation data-visualization numerical-encoding label-encoding ordinal-encoding feature-importance correlation-map imbalanced-dataset smotetomek cross-validation hyperparameter-optimization
Language:Jupyter Notebook 0
PriyankaSett / Identifying_gamma_hadron_magic_dataset
Identifying rare event.
adaboostclassifier auc curve gradient-boosting gridsearchcv matplotlib pandas pr random-forest-classifier randomoversampler roc seaborn smotetomek xgboost-classifier gmeans youden-jstatistic prcurve threshold-tuning
Language:Jupyter Notebook 0
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
creditcard data-science exploratory-data-analysis knn-classification machine-learning matplotlib numpy pandas python random-forest-classifier randomizedsearchcv seaborn smotetomek
Language:Jupyter Notebook 0
EmamulHossen / CoustomerChunPrediction
Churn prediction means detecting which customers are likely to leave a service or to cancel a subscription to a service.
adaboost decision-tree-classifier imbalanced-data label-encoder xgboost-classifier cross-validation k-fold-cross-validation leave-one-out-cross-validation stratified-cross-validation oversampling smotetomek preprocessing-data visualization
Language:Jupyter Notebook
liyongh1 / Telemarketing-Prediction-with-Resampling-and-ML
Develop Machine Learning Models to Predict the UCI Bank Telemarketing Dataset
adasyn-sampling machine-learning smote-sampling smoteenn smotetomek
Language:Jupyter Notebook
saikrishnabudi / Random-Forest
Data Science - Random Forest Work
adasyn classification counter featureselection gridsearchcv imbalanceddata imblearn machinelearning pipeline randomforest sklearn-metrics smote smotetomek standardscaler
Language:Jupyter Notebook

smotetomek

EmilienN / Data-Science-Portfolio

Internship-BVoc / InsuranceClaimPrediction

Chandradithya8 / Handling_Imbalanced_Dataset

MoinDalvs / Assignment_Decision_Tree_2

MoinDalvs / Assignment_SVM_Forest_Fire_Prediction

bg-mohamed / RFS677-Y

DanniRodrJ / milling-machine_failure-prediction

domingosdeeulariadumba / MarketingCampaignPrediction2

m-imani / Predicting-Loan

shanuhalli / Assignment-Random-Forest

shivtosh / Feature-engineering

AnujM09 / Cardiovascular_Risk_Prediction

egorumaev / 2022-bank-customers-churn

hasanzeynal / Resampling-Techniques-For-Imbalance-Problems

mithulmanoj / Classification---imbalanced-dataset---KNN-XGBoost-NaiveBayes

PriyankaSett / Identifying_gamma_hadron_magic_dataset

SebaPansecchi / DataScience-Aprobacion-Tarjetas-de-Credito

EmamulHossen / CoustomerChunPrediction

liyongh1 / Telemarketing-Prediction-with-Resampling-and-ML

saikrishnabudi / Random-Forest