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GitHub topics: feature-selection-methods

TejaswiniKatale/Prediction_of_Diabetes_using_R

Identified the optimal order of preprocessing for Pima Diabetes Dataset, how feature selection and upsampling affects the evaluation metrics

Language: R - Size: 6.84 KB - Last synced at: 2 days ago - Pushed at: 2 days ago - Stars: 0 - Forks: 0

solegalli/feature-selection-with-feature-engine-book

Code repository for the book Feature engineering with Feature-engine

Language: Jupyter Notebook - Size: 2.32 MB - Last synced at: about 1 month ago - Pushed at: about 1 year ago - Stars: 14 - Forks: 5

RezaSaadatyar/Machine-Learning-in-Python

This repository contains functions/codes related to different methods of machine learning for classification and clustering in python.

Language: Jupyter Notebook - Size: 8.01 MB - Last synced at: 5 months ago - Pushed at: 5 months ago - Stars: 2 - Forks: 0

Zen204/-my-ecornell-portfolio

Includes all of my Jupyter Notebook assignments from my time at MIT's Break Through AI/ML Program.

Language: Jupyter Notebook - Size: 9.24 MB - Last synced at: 3 months ago - Pushed at: 6 months ago - Stars: 0 - Forks: 0

tohid-yousefi/Wrapper_Feature_Selection

in this section, we will be wrapper feature selection on the diabetes dataset

Language: Jupyter Notebook - Size: 198 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tohid-yousefi/Categorical_Feature_Selection

in this section will be categorical feature selection on breast cancer dataset

Language: Jupyter Notebook - Size: 85 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

janasatvika/Optimizing-Classification-Models-using-Permutation-Feature-Importance-Method

High data dimensionality and irrelevant features can negatively impact the performance of machine learning algorithms. This repository implements the Permutation feature importance method to enhance the performance of some machine learning models by identifying the contribution of each feature used.

Language: Jupyter Notebook - Size: 1.99 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

tohid-yousefi/Breast-Cancer-Prediction-with-Hybrid-Filter-Wrapper-Feature-Selection

Breast Cancer Prediction with Hybrid Filter-Wrapper Feature Selection

Language: Jupyter Notebook - Size: 1.61 MB - Last synced at: about 1 year ago - Pushed at: about 1 year ago - Stars: 0 - Forks: 0

NadiaAzri/FeatureSelection-GeneticAlgorithm

Dive into feature selection and classification with this Python repository, utilizing a genetic algorithm and various classifiers on a breast cancer dataset. Achieving high accuracy levels, SVM and ANN stand out with 97.37%. Ideal for machine learning enthusiasts and those interested in cancer diagnostics.

Language: Python - Size: 61.5 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

harjeet-blue/User-Verification-based-on-Mouse-Dynamics

This is our Machine Learning course project. Predict the user based on its cursor movements.

Language: Jupyter Notebook - Size: 4.95 MB - Last synced at: over 1 year ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

StatguyUser/MetaHeuristicsFS

Metaheuristics feature selection library for machine learning feature selection. Genetic Algorithm, Simulated Annealing, Particle Swarm Optimization, and Ant Colony Optimization

Language: Python - Size: 247 KB - Last synced at: over 1 year ago - Pushed at: almost 2 years ago - Stars: 1 - Forks: 0

StatguyUser/feature_engineering_and_selection_for_explanable_models

Code repository for the machine learning book Feature Engineering & Selection for Explainable Models: A Second Course for Data Scientists

Language: Jupyter Notebook - Size: 17.8 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 3 - Forks: 0

trizkynoviandy/feature-selection-guide

This repository provides a collection of Jupyter Notebook examples demonstrating various feature selection techniques using Python.

Language: Jupyter Notebook - Size: 59.6 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 0 - Forks: 0

olga1590/House_price_prediction

ML Regression

Language: Jupyter Notebook - Size: 41.3 MB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 2 - Forks: 0

814CK5N0W/des-maschinellen-lernens

🟧 Публичный репозиторий работ по курсу

Language: Jupyter Notebook - Size: 23.3 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

mikerabs/milb_batting_analysis

Research project utilizing multiple regression to model wOBA for minor league batters

Language: Python - Size: 8.86 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 2 - Forks: 0

rfuller84/Predicting_House_Prices

The goal of this project is to build a model that can accurately predict the price of a house based on its features.

Language: Jupyter Notebook - Size: 649 KB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 0 - Forks: 0

pockypoem/ai-projects

This repo contains some projects about artificial intelligence that I made.

Language: Jupyter Notebook - Size: 5 MB - Last synced at: almost 2 years ago - Pushed at: almost 2 years ago - Stars: 0 - Forks: 0

Related Keywords
feature-selection-methods 18 feature-selection 12 machine-learning 8 machine-learning-algorithms 6 feature-engineering 5 python 4 scikit-learn 3 classification 3 wrapper 3 pypi 2 machinelearningprojects 2 logistic-regression 2 jupyter-notebook 2 wrapper-methods 2 seaborn 2 machinelearning-python 2 decision-trees 2 machinelearning 2 filter 2 breast-cancer 2 feature-selection-library 2 pypi-package 2 ge 1 genetic-algorithm 1 data-cleaning-and-preprocessing 1 diagnostics 1 random-forest-classifier 1 hybrid-feature-selection 1 filter-wrapper 1 breast-cancer-prediction 1 support-vector-machines 1 relevant-feature-analysis 1 predictive-modeling 1 permutation-importance 1 supervised-learning 1 portfolio-project 1 modeling 1 dataset 1 classification-algorithm 1 linear-regression-python 1 data-visualization 1 collinearity 1 statsmodels 1 pandas 1 multiple-linear-regression 1 feature-engineerig 1 data-science 1 guide 1 machinelearning-practice 1 book-release 1 svm-classifier 1 decision-trees-algorithm 1 permutation-feature-importance 1 t-distributed-stochastic 1 support-vector-machine 1 singular-value-decomposition 1 random-forest 1 principal-component-analysis 1 naive-bayes 1 multilayer-perceptron 1 linear-discrimination-analysis 1 k-nearest-neighbours 1 k-means-clustering 1 independent-component-analysis 1 gaussian-mixture-model 1 feature-extraction-methods 1 clustering 1 adaboost 1 machine-learning-tutorials 1 sampling 1 diabtetes-prediction 1 data-preprocessing 1 data-cleaning 1 optimization-methods 1 optimization-algorithms 1 k-nearest-neighbors 1 feature-importance 1 feature-extraction 1 categorical-feature-selection 1 sequential-floating-feature-selection 1 sequential-feature-selection 1 exhaustive-feature-selection 1 training-dataset 1 test-dataset 1 scikitlearn-machine-learning 1 receiver-operating-characteristic 1 precision-recall 1 optimal-value 1 model-persistency 1 hyperparameters 1 grid-search 1 dataframe 1 area-under-curve 1