smote

a predictive model to determine the income level for people in US. Imputed and manipulated large and high dimensional data using data.table in R. Performed SMOTE as the dataset is highly imbalanced. Developed naïve Bayes, XGBoost and SVM models for classification

machine-learning r high-dimensional-data naive-bayes-classifier classification data-table svm-classifier smote imbalanced-classification xgboost-classifier income-prediction

Updated Nov 22, 2016
R

igarleni / Imbalanced-Data-analysis-with-R---First-steps

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Learning how to analyze imbalanced Data, implementing SMOTE and using unbalanced R package

data-science data-mining r data-mining-algorithms imbalanced-data smote

Updated Feb 28, 2017
R

vishakha-b18 / Customer-Churn-in-Telecom

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Predicting the churn of customers in a Telecom company using classification algorithms.

telecom imputation smote classification-algorithm business-analytics smote-sampling

Updated May 5, 2020
R

Aviator10 / Predicting-Employee-TransportMode

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Predict whether or not an employee will use Car as a mode of transport from given employee information about their mode of transport as well as their personal and professional details like age, salary, work exp. Also, which variables are a significant predictor behind this decision?

machine-learning naive-bayes logistic-regression predictive-modeling knn smote boosting bagging

Updated Apr 16, 2020
R

Kobamo / Credit-Risk-Analysis

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Credit risk analysis using the LASSO, Random Forests and the SMOTE technique for balancing

classification smote lasso-regression random-forest-classifier credit-risk

Updated Nov 12, 2022
R

rashmisreenath / Credit-Card-Fraud-Detection

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Credit Card Fraud Detection

smote xgboost-algorithm business-analytics credit-card-fraud-detection

Updated Jul 4, 2022
R

santi-souza / stroke-eda-ml

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Stroke: Statistical analysis of risk factors and creation of predictive models using machine learning

machine-learning ggplot2 statistics random-forest rstudio plotly cross-validation rmarkdown logistic-regression confusion-matrix stroke flexdashboard smote gradient-boosting crossvalidation stroke-prediction

Updated Nov 22, 2024
R

EhtashamBillah / Synthetic-Minority-Over-Sampling-Technique-SMOTE-

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For a classification problem, when classes in the dependent variable are severely imbalanced (e.g. 90 yes, 10% no), training an efficient machine learning model becomes very difficult. However with SMOTE method, we can transform the data into a balaced form and train the model efficiently.

machine-learning smote oversampling

Updated Aug 13, 2018
R

atytgat / T-cells-classifier

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Used an ensemble learning approach to distinguish between T-helper and T-regulatory cells, known to be hard to differentiate.

smote genes-data t-cells randomforestclassifier

Updated May 19, 2022
R

shoaib555 / Choosing-preferable-mode-of-transport-by-employees

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The project involves deciding on the mode of transport that the employees prefer while commuting to office. For this, multiple models such as KNN, Naive Bayes, Logistic Regression have been created and explored to check their model performance metrics. Bagging and Boosting modelling procedures have also been applied to create the models.

random-forest eda naive-bayes-classifier xgboost gbm logistic-regression knn smote