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artificial-intelligence-and-machine-learning

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Skismail57 / UPI_Fraud_Detection_Using_Machine_Learning

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Advanced UPI Fraud Detection System using machine learning and deep learning techniques. Features real-time transaction monitoring, multi-model ensemble detection, and interactive dashboard Visualization.

python machine-learning deep-learning neural-networks supervised-learning unsupervised-learning fraud-detection model-training real-time-monitoring ai-security upi-payment artificial-intelligence-and-machine-learning
  • Updated Oct 10, 2025
  • Python

neoreuvenla / msc-comp-sci

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A repository to hold lecture and activity notes from the University of York MSc Computer Science course

computer-science software-engineering advanced-programming university-of-york algorithms-and-data-structures research-methods big-data-analytics research-proposal artificial-intelligence-and-machine-learning computer-architecture-and-operating-systems computer-and-mobile-networks cyber-security-threats independent-research-project
  • Updated Aug 18, 2023

GOPIKA-SUSHAMA / ai-project-risk-prediction-system

Star 0

Multi-output ML system for project risk prediction (classification + regression) inspired by MDPI research paper.

data-science machine-learning random-forest scikit-learn artificial-intelligence decision-trees machine-learning-models artificial-intelligence-projects data-science-projects scikit-learn-python artificial-intelligence-and-machine-learning project-risk-management multi-output-learning project-risk
  • Updated Feb 24, 2026
  • Jupyter Notebook

myselfsukhendu09 / Dry-Bean-Type-Classification

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Automated classification of 7 different types of dry beans using machine learning techniques. This project leverages computer vision-extracted geometric and shape features (such as Area, Perimeter, and Shape Factors) to accurately identify bean varieties including Barbunya, Bombay, Cali, Dermason, Horoz, Seker, and Sira.

python scikit-learn classification-algorithm machine-learning-projects data-science-projects multiclass-classification-models exploratory-data-analysis-eda artificial-intelligence-and-machine-learning dry-bean-dataset feature-engineering-ml
  • Updated Jan 22, 2026
  • Jupyter Notebook

KavyaJP / Neural-Networks

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Personal playground for prototyping neural networks on tabular & non-tabular data — comparing deep learning against XGBoost/LightGBM & Traditional Machine Learning Models on real classification & regression problems.

machine-learning neural-network keras torch neural-networks perceptron ann model-evaluation model-training artifical-neural-network artificial-intelligence-projects artificial-intelligence-and-machine-learning
  • Updated Feb 25, 2026
  • Jupyter Notebook

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