GitHub topics: randomsearchcv
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: 22 days ago - Pushed at: 6 months ago - Stars: 3 - Forks: 0

hyeonsangjeon/Hyperparameters-Optimization
Hyperparameters-Optimization
Language: Jupyter Notebook - Size: 12.1 MB - Last synced at: 23 days ago - Pushed at: about 2 years ago - Stars: 17 - Forks: 3

filsan95/Project-Twitter_Bot_Detection
Using a synthetic dataset from Kaggle, generated with Python's Faker library to mimic real Twitter data, we train several classical machine learning models (ie. classical classification algorithms, as well as ensemble methods)to identify bots from real users.
Language: Jupyter Notebook - Size: 1.84 MB - Last synced at: 3 months ago - Pushed at: 9 months ago - Stars: 0 - Forks: 0

brmorg-to/Supervised_learning_Pima_Indian
Ensemble Learning with Pima_Indian dataset
Language: HTML - Size: 2.12 MB - Last synced at: about 1 year ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0

vicaaa12/advanced-machine-learning
Advanced Machine Learning
Language: Jupyter Notebook - Size: 1.93 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

parchamgupta/Rate-of-Penetration-Prediction
The project is aimed at predicting the rate of penetration for natural gas and oil mines. The project was made as a part of the Petrocoder National Challenge 2021 and achieved a national rank of 4 in the competition.
Language: Jupyter Notebook - Size: 255 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

lucasaltm/Fraud_Detection
Bank Fraud Detection with Imbalanced Data: Applying Oversampling and Hyperparameter Optimization
Language: Jupyter Notebook - Size: 35 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

shivangi-975/Kaggle-Challenge-Classification-of-data
Inter class kaggle Hackathon.
Language: Python - Size: 4.88 KB - Last synced at: over 1 year ago - Pushed at: over 4 years ago - Stars: 1 - Forks: 0

Sandy0002/Machine-Learning-Exercises
A comprehensive set of programs demonstrating machine learning techniques have been made.
Language: Python - Size: 209 KB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

farrael004/Graphical_Optimizer
GUI for hyperparameter optimizer and plotting experiment results
Language: Python - Size: 2.68 MB - Last synced at: almost 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 3

fahadgorain/Bayesian-Hyper-Parameter-Optimization-for-Malware-Detection-Extended
Selected Paper from the AI-CyberSec 2021 Workshop in the 41st SGAI International Conference on Artificial Intelligence (MDPI Journal Electronics)
Language: Jupyter Notebook - Size: 1.36 MB - Last synced at: about 2 years ago - Pushed at: almost 3 years ago - Stars: 2 - Forks: 1

kntb0107/hyperparameter-tuning-with-logistic-regression
Project made for Optimisation and Deep Learning course.
Language: Jupyter Notebook - Size: 1.01 MB - Last synced at: about 1 year ago - Pushed at: about 3 years ago - Stars: 1 - Forks: 0

Nilavan/RandomSearchCV
Implementing k-fold random search cross validation from scratch for a KNN classifier.
Language: Jupyter Notebook - Size: 341 KB - Last synced at: about 1 year ago - Pushed at: almost 4 years ago - Stars: 0 - Forks: 0
