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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

Related Keywords
randomsearchcv 13 gridsearchcv 7 hyperparameter-tuning 6 machine-learning 6 logistic-regression 5 machine-learning-algorithms 3 random-forest-classifier 3 python 3 random-forest 3 hyperparameter-optimization 3 decision-trees 2 data-preprocessing 2 ensemble-learning 2 xgboost-classifier 2 smote 2 baysian-optimisation 2 pandas 2 hyperparameter-search 2 cross-validation 2 feature-importance 2 feature-engineering 2 exploratory-data-analysis 2 optimization 2 classifier-model 1 bagging 1 spotify 1 classification-algorithm 1 sklearn 1 paysim 1 mlflow 1 matplotlib 1 undersampling-technique 1 randomforest-classification 1 oversampling-technique 1 music 1 deep-learning 1 stochastic-gradient-descent 1 malware-detection 1 lightgbm-classifier 1 knn-classification 1 ahbo-tpe 1 gui 1 svm 1 sklearn-library 1 regression-models 1 numpy 1 linear-regression 1 knn 1 kmeans 1 ensemble-models 1 clustering-models 1 classification-models 1 boosting 1 outlier-detection 1 hyperband 1 hpo 1 grid-search 1 fmin 1 bayessearchcv 1 bayesian-optimization 1 shap 1 randomforestclassifier 1 modelselection 1 lgbmclassifier 1 joblib 1 gradientboosting 1 feature-selection 1 decision-tree-classifier 1 dataanalysis 1 correlation-analysis 1 classificationreport 1 model-performance-comparison 1 model-comparison 1 missing-value-imputation 1 gradientboostinclassifier 1 correlation-matrix 1 confusion-matrix 1 bagging-classifier 1 adaboost-classifier 1 extra-trees-classifier 1 gradient-boosting-classifier 1 ensemble-model 1 tree-structured 1 tree-of-parzen-estimator 1 tpe 1 random-search 1 hyperparameter 1 hyperbandsearchcv 1