smote-sampling

aniass/Spam-detection

Spam detection in SMS messages with BERT model and Machine Learning algorithms

rochitasundar/Predictive-maintenance-cost-minimization-using-ML-ReneWind

The aim to decrease the maintenance cost of generators used in wind energy production machinery. This is achieved by building various classification models, accounting for class imbalance, and tuning on a user defined cost metric (function of true positives, false positives and false negatives predicted) & productionising the model using pipelines.

rohitdwivedula/enzyme-classification

Predict the enzyme class of a given FASTA sequence using deep learning methods including CNNs, LSTM, BiLSTM, GRU, and attention models along with a host of other ML methods.

rishawsingh/Credit-Card-Fraud-Detection

System to tell apart the transaction was from the real user who owns the credit card or the transaction was from the stolen credit card.

akibzaman/Soil-nutrient-web

Prediction of basic soil nutrients (phosphorus, potassium, boron, calcium, magnesium and manganese) using reflectance from Hyperspectral Satellite Images (HSI).

dimitrisbro/SmartGridFraudDetection

Electricity Fraud Detection in Smart Grids

rikhuijzer/Resample.jl

An implementation of SMOTE

ankit-kothari/Credit-Risk-Analysis

Predicting the ability of a borrower to pay back the loan through Traditional Machine Learning Models and comparing to Ensembling Methods

ceenaa/fraud_detection

Credit Card fraud detection

gulabpatel/Handle_Imbalance

ShyrenMore/sem08

A compilation of codes for SMA, DC, ADS

chinmaysharmacs10/University_Recommender

A model that recommends University based on details of an applicant.

gaetanoantonicchio/DataMining-2

Repository for "Data Mining - Advanced Topics and Applications" projects exam.

MsTao-68/Debt-Churn-Data-Analysis

使用比赛方提供的脱敏数据，进行客户信贷流失预测。

M-Hashemzadeh/RCSMOTE

RCSMOTE: Range-Controlled Synthetic Minority Over-sampling Technique for handling the class imbalance problem

rupeshsure/Obstructive-Sleep-Apnea-Project

Obstructive Sleep Apnea classification with help of numerical data set which having the physical body characteristics with the help of machine learing

FaezehAbedi2023/Statistical-Analysis-in-Sensor-Data-Processing-with-Machine-Learning-Models

This project develops an activity recognition model for a mobile fitness app using statistical analysis and machine learning. By processing smartphone sensor data, it extracts features to train models that accurately recognize user activities.

Jalalbaim/Gear-Detection

Gear detection using OpenCv and Machine Learning

skinan/Improved-Sampling-and-Feature-Selection-to-Support-Extreme-Gradient-Boosting-For-PCOS-Diagnosis

This project is a part of the research on PolyCystic Ovary Syndrome Diagnosis using patient history datasets through statistical feature selection and multiple machine learning strategies. The aim of this project was to identify the best possible features that strongly classifies PCOS in patients of different age and conditions.

yourssincerely/eurovision

This project provides a comprehensive analysis of the Eurovision Song Contest, with insights derived from both traditional statistical methods and machine learning techniques.

AI-14/lumpy-skin-disease-classification

Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.

hosiajosindra/credit-risk-classification

This is a program to predict the possible risk of default on credit card use.

kalyaniasthana/CS273A_project_diabetes

Course Project for CS273A: Machine Learning at UCI

TzeLun/SMOTE

A minority oversampling method for imbalance data set

Zahivc/Bank-Bankruptcy-Predictions

Bank bankruptcy predictions on FDIC bank failure data using tensorflow, keras, sklearn, ensemble, and imblearn libraries.

ajitsingh98/E-commerce-product-buyer-session-prediction

Predict whether customer purchase a product or not in a session

apurvanand-2002/Dealing-with-imbalanced-data

Using Random undersampling, Tomeklinks, Random oversampling, SMOTE, SMOTE+Tomeklinks and ADASYN from inbuilt imbalanced learn library and found how many records added or discarded.

apurvanand-2002/SMOTE-

SMOTE code ( used from imblearn) along with classification report and confusion matrix usage. Also, created our own dataset using make_classifcation() function of python.

bharatkulmani/Dry-Bean

Project is about predicting Class Of Beans using Supervised Learning Models

GaneshAhire30/Earth-Quack-Detector

Based on aspects of building location and construction, your goal is to predict the level of damage to buildings caused by the 2015 Gorkha earthquake in Nepal.

MoinDalvs/Assignment_SVM_Forest_Fire_Prediction

nawaz-kmr/Predicting_customer_churn

• Did in depth exploratory data analysis on the churn dataset and got valuable insight for the machine learning model. • Created a machine learning model using a bunch of algorithms (LR, KNN, SVC, Random Forest, Gradient Boosting) to predict customer churn based on historical data.GB classifier achieved 8% decrease in the overall churn rate

Safaa-p/Fraudulent-Insurance-Claims-Detection

Different models to detect if a claim is fraudulent or not

tathithienthanh/DataAnalysis_Diagnosis-of-diabetes-based-on-data-set-of-blood-test-result

Implement all learned knowledge about data analysis and data mining to make a complete project about Diagnosis of diabetes based on data set of blood test result

fitria-dwi/Credit-Risk-Prediction

Minimizing bad-risk loan approvals by accurately predicting the applicant's credit risk to reduce financial losses and improve the decision-making process.