There are 0 repository under smote-sampling topic.
Machine learning model for Credit Card fraud detection
Spam detection in SMS messages with BERT model and Machine Learning algorithms
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.
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.
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.
Electricity Fraud Detection in Smart Grids
Predicting the ability of a borrower to pay back the loan through Traditional Machine Learning Models and comparing to Ensembling Methods
Prediction of basic soil nutrients (phosphorus, potassium, boron, calcium, magnesium and manganese) using reflectance from Hyperspectral Satellite Images (HSI).
Credit Card fraud detection
A compilation of codes for SMA, DC, ADS
A model that recommends University based on details of an applicant.
Repository for "Data Mining - Advanced Topics and Applications" projects exam.
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RCSMOTE: Range-Controlled Synthetic Minority Over-sampling Technique for handling the class imbalance problem
Obstructive Sleep Apnea classification with help of numerical data set which having the physical body characteristics with the help of machine learing
Gear detection using OpenCv and Machine Learning
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.
This project provides a comprehensive analysis of the Eurovision Song Contest, with insights derived from both traditional statistical methods and machine learning techniques.
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.
This is a program to predict the possible risk of default on credit card use.
Course Project for CS273A: Machine Learning at UCI
Bank bankruptcy predictions on FDIC bank failure data using tensorflow, keras, sklearn, ensemble, and imblearn libraries.
This small repository contains the SMOTE implementation from scratch.
Binary classification of lumpy skin disease (imbalanced dataset) using ML algorithms in addition to oversampling/undersampling techniques.
Predict whether customer purchase a product or not in a session
Project is about predicting Class Of Beans using Supervised Learning Models
Minimizing bad-risk loan approvals by accurately predicting the applicant's credit risk to reduce financial losses and improve the decision-making process.
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.
โข Did in depth exploratory data analysis on the churn dataset and got valuable insight for the machine learning model. โข 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
Different models to detect if a claim is fraudulent or not
Predicting credit risk with machine learning algorithms and help financial institutions detect anomalies, reduce risk cases, monitor portfolios with statistical functions.
Repository contains USA Stock Market prediction using Financial Fundamental data which involved EDA, Statistical Analysis and Model Building