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MohamedMostafa010 / ExeRay

Star 50

ExeRay AI detects malicious Windows executables using ML. Analyzes entropy, imports, and metadata for rapid classification, aiding incident response. Built with Python and scikit-learn.

python machine-learning ai random-forest detection scikit-learn machine-learning-algorithms malware python3 executable artificial-intelligence xgboost machinelearning exe malicious random-forest-classifier gridsearchcv benign aimodel xgboost-classifier
  • Updated Aug 8, 2025
  • Python

AliAmini93 / Fault-Detection-in-DC-microgrids

Star 38

Using DIgSILENT, a smart-grid case study was designed for data collection, followed by feature extraction using FFT and DWT. Post-extraction, feature selection. CNN-based and extensive machine learning techniques were then applied for fault detection.

neural-network random-forest svm cnn feature-selection fft dwt data-augmentation mutual-information linear-discriminant-analysis pearson-correlation grid-search-hyperparameters xgboost-classifier anova-analysis digsilent
  • Updated Aug 25, 2024
  • Jupyter Notebook

ShivamVadalia / Underwater-Waste-Detection-Using-YoloV8-And-Water-Quality-Assessment

Star 30

Neural Ocean is a project that addresses the issue of growing underwater waste in oceans and seas. It offers three solutions: YoloV8 Algorithm-based underwater waste detection, a rule-based classifier for aquatic life habitat assessment, and a Machine Learning model for water classification as fit for drinking or irrigation or not fit.

python machine-learning deep-learning pytorch statistical-analysis object-detection denoising-images dark-channel-prior xgboost-classifier rule-based-classifier yolov8
  • Updated Jun 12, 2023
  • Jupyter Notebook

edaaydinea / OP2-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease-with-MRI-data

Star 10

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD) with MRI data.

data-science machine-learning deep-learning tensorflow neural-networks logistic-regression keras-neural-networks chi-square-test random-forest-classifier xgboost-classifier lightgbm-classifier smote-oversampler anova-analysis catboost-classifier multi-layer-perceptron-classifier
  • Updated Nov 6, 2022
  • Jupyter Notebook

edaaydinea / OP1-Prediction-of-the-Different-Progressive-Levels-of-Alzheimer-s-Disease

Star 10

This is an optional model development project on a real dataset related to predicting the different progressive levels of Alzheimer’s disease (AD).

data-science machine-learning deep-neural-networks tensorflow neural-networks logistic-regression keras-neural-networks chi-square-test random-forest-classifier alzheimer-disease-prediction xgboost-classifier anova-test lightgbm-classifier catboost-classifier multi-layer-perceptron-classifier
  • Updated Nov 6, 2022
  • Jupyter Notebook

virajbhutada / telecom-customer-churn-prediction

Star 9

Predict and prevent customer churn in the telecom industry with our advanced analytics and Machine Learning project. Uncover key factors driving churn and gain valuable insights into customer behavior with interactive Power BI visualizations. Empower your decision-making process with data-driven strategies and improve customer retention.

data-science machine-learning neural-network python-library machine-learning-algorithms eda pandas data-analysis logistic-regression powerbi roc-curve decision-tree-classifier churn-prediction machine-learning-models random-forest-classifier classification-models customer-churn-prediction customer-attrition-analysis xgboost-classifier powerbi-desktop
  • Updated Aug 16, 2025
  • HTML

tanishq-ctrl / House-price-prediction-and-visualization

Star 9

This repository contains code and data for analyzing real estate trends, predicting house prices, estimating time on the market, and building an interactive dashboard for visualization. It is structured to cater to data scientists, real estate analysts, and developers looking to understand property market dynamics.

xgboost lightgbm xgboost-algorithm catboost machinelearningalgorithms xgboost-classifier r2score rmse-score lightgbm-regressor lightgbm-classifier catboostregressor datavisualization-project catboost-classifier housepriceprediction dataanlaytics
  • Updated Jan 16, 2025
  • Jupyter Notebook

ChaitanyaC22 / Fraud_Analytics_Credit_Card_Fraud_Detection

Star 6

The aim of this project is to predict fraudulent credit card transactions with the help of different machine learning models.

machine-learning-algorithms pipelines banking hyperparameter-optimization data-analysis logistic-regression hyperparameter-tuning decision-tree-classifier svm-classifier smote oversampling kneighborsclassifier random-forest-classifier power-transformers adasyn imblearn credit-card-fraud-detection randomoversampler xgboost-classifier fraud-analytics
  • Updated Jan 24, 2023
  • Jupyter Notebook

grknc / Customer-Churn-Analyzer-with-ML

Star 6

Telco Churn Analysis and Modeling is a comprehensive project focused on understanding and predicting customer churn in the telecommunications industry. Utilizing advanced data analysis and machine learning techniques, this project aims to provide insights into customer behavior and help develop effective strategies for customer

prediction xgboost predictive-modeling random-forest-classifier customer-churn-prediction customer-churn xgboost-classifier lightgbm-classifier customer-churn-prediction-with-machine-learning
  • Updated Jan 23, 2024
  • Jupyter Notebook

rohitkulkarni08 / Customer-Churn-Analysis

Star 6

This is a customer churn prediction project using machine learning algorithms like Logistic Regression, Random Forest, K-Nearest Neighbors, Support Vector Machine, XGBoost, and Gradient Boosting. The project aims to analyze and predict customer churn in a dataset, using techniques like class weighting and SMOTE to handle class imbalance

python data-science machine-learning jupyter pandas data-visualization logistic-regression feature-engineering gradient-boosting-classifier svm-classifier smote classification-models xgboost-classifier
  • Updated Mar 15, 2024
  • Jupyter Notebook

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