PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition
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Updated
Jul 16, 2024 - Python
PSO Fuzzy XGBoost Classifier Boosted with Neural Gas Features on EEG Signals in Emotion Recognition
Gocaudices is a dwmblocks alternative written in GO in less than 100 SLOC using xgb.
This is the Classification supervised learning model used for predicting employee will get promotion or not
building a model to predict whether a food establishment passed inspection or not
Kaggle Bosch Production Line Performance, NO.74/top 6% (post competition analysis) 生產線分析、前 6 % ( 賽後分析 )
End to End Accident Prediction App with Hotspot Analysis
A Machine Learning API with native redis caching and export + import using S3. Analyze entire datasets using an API for building, training, testing, analyzing, extracting, importing, and archiving. This repository can run from a docker container or from the repository.
Utilizing AutoXGB for Credit Card Financial Fraud Detection
This is a Machine Learning web app developed using Python and StreamLit. Uses algorithms like Logistic Regression, KNN, SVM, Random Forest, Gradient Boosting, and XGBoost to build powerful and accurate models to predict the status of the user (High Risk / Low Risk) with respect to Heart Attack and Breast Cancer.
Microbial Phenotype Prediction, successor to PICA, implemented with Python 3.7 and scikit-learn
A dashboard that supports fleet managers and decision makers to gain insights into their automotive fleets and optimize them
MachineHack Hackathon
Consumer Spending Analytics
Synthetic Financial Datasets For Fraud Detection
The main of this solution is to identify the churn customers and to find important features for identifying churn customer.
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