Topic: "classificationreport"
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
Language: Jupyter Notebook - Size: 4.54 MB - Last synced at: 14 days ago - Pushed at: 5 months ago - Stars: 3 - Forks: 0
swarna0712/San-Fransisco-Crime-Classification-using-PySpark
Big Data Project - SSML - Spark Streaming for Machine Learning
Language: Python - Size: 21.5 KB - Last synced at: almost 2 years ago - Pushed at: over 3 years ago - Stars: 2 - Forks: 1
Hands-On-Fraud-Analytics/Chapter-12-Data-Preparation-for-Fraud-Analytics
Chapter 12: Data Preparation for Fraud Analytics
Language: Jupyter Notebook - Size: 3.57 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0
AnjaliChopra04/Image-Classification-Project
This project classifies multiple images into their respective categories with the help of an efficient Classifier
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0
PranayChuramani21/Image-Classification-Project
This project uses Cifar-10 dataset to classify the images into 10 different classes
Language: Jupyter Notebook - Size: 1.23 MB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
ashishyadav24092000/Accuracy_confusionMAtrix_logisticRegression
It calculates the accuracy score and confusion matrix for a logistic regression model. The dataset is about coupon used or not in an apparel store known as Simmons .
Language: Jupyter Notebook - Size: 2.24 MB - Last synced at: over 1 year ago - Pushed at: over 3 years ago - Stars: 0 - Forks: 0
