Projects in Awesome Lists tagged with modelselection
A curated list of projects in awesome lists tagged with modelselection .
https://github.com/pavankethavath/microsoft-classifying-cybersecurity-incidents-with-ml
A machine learning pipeline for classifying cybersecurity incidents as True Positive(TP), Benign Positive(BP), or False Positive(FP) using the Microsoft GUIDE dataset. Features advanced preprocessing, XGBoost optimization, SMOTE, SHAP analysis, and deployment-ready models. Tools: Python, scikit-learn, XGBoost, LightGBM, SHAP and imbalanced-learn
classificationreport correlation-analysis dataanalysis decision-tree-classifier exploratory-data-analysis feature-engineering feature-selection gradientboosting hyperparameter-tuning joblib lgbmclassifier logistic-regression machine-learning modelselection pandas randomforestclassifier randomsearchcv shap smote xgboost-classifier
Last synced: 23 Apr 2025
https://github.com/pramodyasahan/model-selection
This repository explores and compares different regression models for predicting continuous outcomes. This repository includes implementations and evaluations of five key regression models. The primary goal is to demonstrate how each model works, evaluate their performance using R-squared values, and guide users in selecting the best model.
machine-learning modelselection numpy pandas python regression scikit-learn
Last synced: 08 Mar 2025
https://github.com/udhaya2823/microsoft---classifying-cybersecurity-incidents-with-machine_learning
🚨Microsoft: Classifying Cybersecurity Incidents with Machine Learning🔐 This project leverages the power of Machine Learning to classify cybersecurity incidents 🚨, improving the efficiency of Security Operation Centers (SOCs) at Microsoft. We train a model to predict incident grades, helping analysts prioritize threats with precision🎯.
classification data feature-engineering iqr-method machine-learning matplotlib model-evaluation modelselection predictive-modeling python sklearn
Last synced: 18 Mar 2025