Topic: over-sampling Goto Github
Some thing interesting about over-sampling
Some thing interesting about over-sampling
over-sampling,Credit Card Fraud detection based on anonymized data using multiple classification algorithms
User: abhiram-ds
over-sampling,Predicting students admission with Logistic Regression, Decision Tree, SVM (SVC) and Random Forest
User: alicevillar
over-sampling,Multivariate Normal Distribution based Oversampling
User: baibai25
over-sampling,Multivariate Normal Distribution Based Over-Sampling for Numerical and Categorical Features
User: baibai25
over-sampling,Predicts the qualified employee for promotion using Classification
User: bananalhethlool
over-sampling,Supervised Machine Learning and Credit Risk
User: cbrito3
over-sampling,In this project, data analytics is used to analyze customer-level data of a leading telecom firm, build predictive models to identify customers at high risk of churn, and identify the main indicators of churn. The project focuses on a four-month window, wherein the first two months are the ‘good’ phase, the third month is the ‘action’ phase, while the fourth month is the ‘churn’ phase. The business objective is to predict the churn in the last i.e. fourth month using the data from the first three months.
User: chaitanyac22
over-sampling,Use random forest, gradient boosting, neural network, with SMOTE-ENN and random over-sampling
User: chihangs
over-sampling,Imbalanced data commonly exist in real world, especially in anomaly-detection tasks. Handling imbalanced data is important to the tasks, otherwise the predictions are biased towards the majority class. RandomOverSampler, SMOTE, and ADASYN are useful oversampling tools to fabricate data for minority classes and make the dataset balanced.
User: hanfei1986
over-sampling,Repo contains scripts to perform data analysis on structure data. It also provides a comparison of various ML algorithms at different stages of data preparation.
User: jabhinav
over-sampling,Genre Identification task along with Text Analytics with Multi-Class and Imbalanced Learning on Gutenberg Corpus
User: jalajvora
Home Page: https://jalajvora.github.io/Text-Analytics-with-Multi-Class-and-Imbalanced-Learning/
over-sampling,RCSMOTE: Range-Controlled Synthetic Minority Over-sampling Technique for handling the class imbalance problem
User: m-hashemzadeh
over-sampling,Football Positions: A Multi-class Classification Problem
User: mbdelaresma
over-sampling,Trained and evaluated two supervised machine learning models using original and resampled data to identify 'healthy loan' and 'high risk loan' applicants from financial disclosures.
User: neonostrich
over-sampling,Synthetic Minority Over-Sampling Technique for Regression
User: nickkunz
Home Page: https://pypi.org/project/smogn
over-sampling,Kaggle Competition: Predictions of West Nile Virus outbreaks in the City of Chicago.
User: richengo
over-sampling,The aim of this project is to determine which classification technique produces the best results when applied to the task of determining credit riskiness.
User: selkhayri
over-sampling,Detecting Frauds in Online Transactions using Anamoly Detection Techniques Such as Over Sampling and Under-Sampling as the ratio of Frauds is less than 0.00005 thus, simply applying Classification Algorithm may result in Overfitting
User: sharmaroshan
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