Projects in Awesome Lists tagged with recursive-feature-elimination
A curated list of projects in awesome lists tagged with recursive-feature-elimination .
https://github.com/ing-bank/probatus
SHAP-based validation for linear and tree-based models. Applied to binary, multiclass and regression problems.
binary-classifiers data-analysis data-science feature-elimination machine-learning multi-class-classification recursive-feature-elimination regressors shap statistics tree-model
Last synced: 07 Apr 2025
https://github.com/mlr-org/mlr3fselect
Feature selection package of the mlr3 ecosystem.
evolutionary-algorithms exhaustive-search feature-selection machine-learning mlr3 optimization r r-package random-search recursive-feature-elimination sequential-feature-selection
Last synced: 09 Apr 2025
https://github.com/imharshag/nids-using-ml
This project showcases a Network Intrusion Detection System (NIDS) designed to bolster cybersecurity defenses against evolving threats
datamining ensemble-learning gaussian-naive-bayes knn label-encoding matplotlib network-intrusion-detection nsl-kdd one-hot-encoding principal-component-analysis python random-forest recursive-feature-elimination sklearn svm voting-classifier xgboost
Last synced: 23 Apr 2025
https://github.com/alejo1630/grades_college_analysis
A Jupyter Notebook with the analysis and prediction of Final Grades (Pass/Fail) for students of mechatronics engineering in several mechanic courses.
binary-classification college-grade cross-validation data-visualization exploratory-data-analysis feature-engineering jupyter-notebook recursive-feature-elimination regression-models
Last synced: 20 Feb 2025
https://github.com/ehsan-behzadi/a-machine-learning-approach-using-the-pima-indians-diabetes-dataset
This repository features a machine learning project utilizing the Pima Indians Diabetes Dataset to predict diabetes risk. It explores data preprocessing, model training, and evaluation using techniques such as Naive Bayes and K-Nearest Neighbors (KNN) . The aim is to highlight the impact of various health factors on diabetes prediction.
data-imbalance data-imputation data-preprocessing diabetes-prediction feature-selection k-nearest-neighbours leave-one-out-cross-validation machine-learning model-validation naive-bayes-classifier outlier-detection pima-indians-diabetes predictive-modeling recursive-feature-elimination standardization
Last synced: 24 Mar 2025
https://github.com/edanur-y/abalone-age-prediction-with-regression-models
Comparing the performances of simple linear, multiple linear, multi-layer perceptron and k-nearest neighbors regressions on abalone data to predict the age.
data-analysis hyperparameter-tuning missing-values-analysis outlier-analysis python recursive-feature-elimination
Last synced: 15 Mar 2025
https://github.com/yasmin-camargo/ferramentas-de-inteligencia-artificial
Atividades práticas elaborados em Python, no ambiente Google Colab, para a disciplina de ferramentas de inteligencia artificial
cross-validation data-engineering deap decision-tree dimensionality-reduction evaluation-metrics genetic-algorithm kfold knn linear-regression machine-learning mlp-pytorch neural-networks python random-forest recursive-feature-elimination supervised-learning svm-classifier unsupervised-learning
Last synced: 28 Feb 2025
