smote
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Predicting company bankruptcy using various machine learning models. The dataset is sourced from Kaggle: Company Bankruptcy Prediction.
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Aug 7, 2024 - Python
ML-based prediction of NSCLC recurrence with gene expression data
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Jul 23, 2024 - Python
Implementation of the Geometric SMOTE over-sampling algorithm.
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Jul 1, 2024 - Python
Implementation of novel oversampling algorithms.
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Jun 29, 2024 - Python
Malicious URL detector built with deep exploration on feature engineering.
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Jun 22, 2024 - Python
We leverage machine learning and data analysis to address real-world challenges in the copper industry. Our documentation encompasses data preprocessing, feature engineering, classification, regression, and model selection. Explore how we've enhanced predictive capabilities to optimize manufacturing solutions.
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Jun 11, 2024 - Python
Python package for tackling multi-class imbalance problems. http://www.cs.put.poznan.pl/mlango/publications/multiimbalance/
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May 17, 2024 - Python
Scoring model for financial company - all files
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Apr 10, 2024 - Python
Synthetic Minority Over-Sampling Technique for Regression
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Feb 7, 2024 - Python
Routines to perform cross-validation and nested cross-validation using data transformations
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Oct 5, 2023 - Python
Continuing with telemarketing model to predict campaign subscriptions in a portuguese bank institution. For this project I have evaluated the performance of four resampling techniques and selected the best one to implement the logistic model.
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Sep 19, 2023 - Python
A telemarketing model to predict campaign subscriptions in a portuguese bank institution.
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Sep 2, 2023 - Python
Fraud Machine Learning Pipelining for experimenting with SMOTE
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Jul 6, 2023 - Python
demonstrate different models such as Variational Autoencoders and GANs in a variety of datasets, including tabular, text and image data, including the generation of synthetic data for comparison of their effectiveness in all models for each kind of dataset
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Jun 23, 2023 - Python
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Apr 3, 2023 - Python
Used CDC dataset for heart attack detection in patients. Balanced the dataset using SMOTE and Borderline SMOTE and used feature selection and machine learning to create different models and compared them based on metrics such as F-1 score, ROC AUC, MCC, and accuracy.
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Dec 16, 2022 - Python
This repository contains the code of our published work in IEEE JBHI. Our main objective was to demonstrate the feasibility of the use of synthetic data to effectively train Machine Learning algorithms, prooving that it benefits classification performance most of the times.
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Aug 8, 2022 - Python
Data warehouse and analytics project to predict bike theft prediction from TPS data
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Dec 6, 2021 - Python
Scripts developed for the paper "Understanding when SMOTE works", developed in the "Knowledge Extraction and Machine Learning" (ECAC) class.
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Nov 14, 2021 - Python
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