undersampling-technique

There are 0 repository under undersampling-technique topic.

ramtiin / Credit-Card-Fraud-Detection
In this project, I explore different methods for detecting credit card fraud transactions; including using the Catboost algorithm with undersampling & oversampling methods, and using an almost new approach, by using deep learning and autoencoder.
anomaly-detection autoencoder autoencoders catboost credit-card-fraud deep-learning imbalanced-data oversampling-technique undersampling-technique
Language:Jupyter Notebook 6
AI-14 / lumpy-skin-disease-classification
Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.
imbalanced-dataset machine-learning oversampling-technique python sklearn smote-sampling undersampling-technique
Language:Jupyter Notebook 2
aabritidutta / Creditcard-Fraud-Detection
Predict if a transaction is a fraud transaction or not, also, dealing with unbalanced data and finding the pattern using correlation between the features.
unbalanced-data undersampling oversampling undersampling-technique oversampling-technique gridsearchcv classification
Language:Jupyter Notebook 1
COOLMudi / Data-Scientist-Spotify-Skip-Action-Prediction-
It's Technocolabs Software Data Scientist Internship Project (1st Dec 2021 - 15th Jan 2022). In this project the team was instructed to analysis big data of Spotify users and to perform Statistical and Exploratory Data Analysis and Model Development for Predicting Listener Behavior.
eda python-3 python-script scikitlearn-machine-learning seaborn-plots pandas-dataframe data-science data-visualization data data-analysis-python sql streamlit spotify spotify-skip-prediction predictive-analytics-for-business predictive-analytics classification-model undersampling-technique
Language:Jupyter Notebook 1
Demon-2-Angel / Cereberal-Stroke-Analysis
Cerebral stroke, a critical condition, demands vigilant analysis. Machine learning models, coupled with resampling techniques like SMOTEENN, enhance stroke prediction accuracy by addressing imbalanced datasets.
brain-stroke-analysis-and-classification cerebral machine-learning-algorithms oversampling-technique undersampling-technique
Language:Jupyter Notebook 1
loopiiu / DSP2_Endterm
Expresso Churn Prediction Challenge - dealing with imbalanced dataset
catboost-classifier decision-tree gaussiannb imbalanced-data knn lightgbm linear-discriminant-analysis logistic-regression random-forest undersampling-technique xgboost
Language:Jupyter Notebook 1
mdabbous88 / Credit_Risk_Analysis
Assess credit risk of applicants using supervised machine learning. Several different machine learning techniques such as SMOTE, SMOTEENN, RANDOM FOREST, EASY ENSEMBLE were applied, the models were assessed using accuracy score, precision and accuracy to choose the best technique that applies to this type of problem.
accuracy credit-risk machine-learning oversampling-technique precision random-forest-classifier smoteen smoteenn supervised-machine-learning undersampling-technique
Language:Jupyter Notebook 1
mmsaki / credit-risks-ml
Using the imbalanced-learn and Scikit-learn libraries to build and evaluate machine learning models.
balanced-accuracy-scores classification-models credit-risk imbalanced-classification imbalanced-learning loan-prediction-analysis logistic-regression machine-learning oversampling predictive-modeling resampling sklearn smote-oversampler smoteenn-combination undersampling-technique
Language:Jupyter Notebook 1
RAVI-CHANDRIKA-05 / PREDICTING_PROBABILITY_OF_PAYING_BLIGHT_TICKETS
This repository contains files on Predict probability whether a given blight ticket will be paid
regression-models xgboost-regression smote undersampling-technique regex regression-algorithms
Language:HTML 1
sailyshah / Credit-card-fraud-detection
Detect potential frauds so that customers are not wrongly charged for items that they did not purchase.
adasyn-sampling credit-card-fraud hyperparameter-tuning optimal-threshold oversampling-technique roc-curve smote-sampling undersampling-technique
Language:Jupyter Notebook 1
Sophy8281 / sms-spam-detection
Spam messages detection model
data-exploration data-visualization data-preprocessing classification oversampling-technique undersampling-technique
Language:Jupyter Notebook 1
disha2sinha / Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering
Under-sampling based consensus clustering is applied on the three best clustering algorithms found after applying several Clustering Algorithms like K-means, K-modes, K-prototypes , K-means++ and fuzzy K-means on the majority class data of the IMBALANCED colon dataset to produce a BALANCED dataset.
clustering consensus-clustering imbalanced-data undersampling-technique
Language:Jupyter Notebook 0
Emeraldugbeyide93 / Undersampling-and-Oversampling-techniques-for-imbalanced-datasets
Beginner friendly project focusing on dataset imbalances using the oversampling and under sampling techniques
beginner-friendly data-exploration exploratory-data-analysis imblearn jupyter-notebook matplotlib-pyplot numpy oversampling-technique pandas python3 seaborn undersampling-technique
0
gabrielecola / Imbalance_classification_problem
bsc-thesis cost-sensitive-classification oversampling-technique undersampling-technique
Language:TeX 0
Godson199 / Ecological-Footprint-Predictor
In this project, I worked on a classification problem using an imbalanced dataset which predicts ecological footprints. The aim of the project was not necessarily to build a classification model but to investigate the different methods of correcting an imbalanced dataset in order not to build a biased classifier
data-preprocessing data-science data-visualization data-wrangling lgbmclassifier machine-learning oversampling-technique randomforestclassifier smote undersampling-technique xgboost
Language:Jupyter Notebook 0
joanitolopo / eval-sampling-methods
🔍 Evaluating Sampling Techniques for Healthcare Insurance Fraud Detection in Imbalanced Dataset.
imbalanced-data machine-learning model-evaluation-metrics optuna oversampling sampling-methods smote-sampling undersampling-technique
Language:Python 0
kuntala-c / A-streamlit-app-to-predict-customer-purchase-using-ML-model
A Machine Learning model that predicts the customer's possibility of purchase using historical data.
logistic-regression machine-learning prediction-model python streamlit-webapp undersampling-technique
Language:Jupyter Notebook 0
lamferzon / Heart-disease-analysis
Statistical analysis in R of a heart disease dataset by using logistic regression and random forest.
heartdisease-prediction logistic-regression random-forest statistical-learning undersampling-technique
Language:R 0
nafisa-samia / Credit-Card-Fraud-Detection-Dealing-with-Imbalanced-Data
This project is based on supervised machine learning where you will be predicting whether a credit card transaction is original transaction or fraud transaction based on various parameters. This is a classification problem.
classification-model imbalanced-data machine-learning oversampling-technique undersampling-technique
Language:Jupyter Notebook 0
vargovema / ccf_classification
Credit card fraud detection
credit-card-fraud logistic-regression linear-regression regularized-logistic-regression undersampling-technique
Language:R 0
vicaaa12 / advanced-machine-learning
Advanced Machine Learning
adaboost-classifier bagging-classifier confusion-matrix correlation-matrix data-preprocessing ensemble-learning exploratory-data-analysis feature-importance gradientboostinclassifier hyperparameter-tuning missing-value-imputation model-comparison model-performance-comparison outlier-detection oversampling-technique randomforest-classification randomsearchcv undersampling-technique xgboost-classifier
Language:Jupyter Notebook 0
vivekyadav07 / Credit-Card-Fraud-Detection
ML Project ,XGboost .Logistic Regression as classification,Decision Tree & balancing technique Undersampling & SMOTE.
xgboost-algorithm decision-tree logistic-regression undersampling-technique smote yeo-johnson-transformations
Language:Jupyter Notebook 0
AfonsoPaula / Apis-Melifera-Honeybee
Prediction of occurrences of a bee species in the Iberian Peninsula 🐝
dataset machine-learning-algorithms numpy oversampling-technique pandas undersampling-technique
Language:Jupyter Notebook
aolayeye / Credit_Risk_Analysis
Predicting Credit Risk with undersampling, oversampling, and ensemble methods across various machine learning algorithms.
logistic-regression machine-learning oversampling-technique random-forest undersampling-technique
Language:Jupyter Notebook
ClJuRo / Classification-of-Good-Loans-and-Bad-Loans-using-ML-algorithms
Predictive Modeling of Credit Risk Faced by a P2P lending platform
bagging-ensemble decision-trees logistic-regression machine-learning oversampling-technique random-forest undersampling-technique
Language:Jupyter Notebook
Soumyapro / Credit-Card-Fraud-Detection
The project was intended to detect fraudulent transactions from a highly imbalanced dataset.To solve the imbalance dataset problem random undersampling techniques were used.
svm undersampling-technique
Language:Jupyter Notebook
TheThugnomist / BankFraud
Building a machine learning model to check bank frauds
deep-learning keras machine-learning oversampling-technique scikit-learn tensorflow undersampling-technique
Language:Jupyter Notebook

undersampling-technique

ramtiin / Credit-Card-Fraud-Detection

AI-14 / lumpy-skin-disease-classification

aabritidutta / Creditcard-Fraud-Detection

COOLMudi / Data-Scientist-Spotify-Skip-Action-Prediction-

Demon-2-Angel / Cereberal-Stroke-Analysis

loopiiu / DSP2_Endterm

mdabbous88 / Credit_Risk_Analysis

mmsaki / credit-risks-ml

RAVI-CHANDRIKA-05 / PREDICTING_PROBABILITY_OF_PAYING_BLIGHT_TICKETS

sailyshah / Credit-card-fraud-detection

Sophy8281 / sms-spam-detection

disha2sinha / Reducing-Imbalanced-dataset-by-Under-sampling-approach-Consensus-Clustering

Emeraldugbeyide93 / Undersampling-and-Oversampling-techniques-for-imbalanced-datasets

gabrielecola / Imbalance_classification_problem

Godson199 / Ecological-Footprint-Predictor

joanitolopo / eval-sampling-methods

kuntala-c / A-streamlit-app-to-predict-customer-purchase-using-ML-model

lamferzon / Heart-disease-analysis

nafisa-samia / Credit-Card-Fraud-Detection-Dealing-with-Imbalanced-Data

vargovema / ccf_classification

vicaaa12 / advanced-machine-learning

vivekyadav07 / Credit-Card-Fraud-Detection

AfonsoPaula / Apis-Melifera-Honeybee

aolayeye / Credit_Risk_Analysis

ClJuRo / Classification-of-Good-Loans-and-Bad-Loans-using-ML-algorithms

Soumyapro / Credit-Card-Fraud-Detection

TheThugnomist / BankFraud