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variance-threshold

Here are 6 public repositories matching this topic...

suhaibmukhtar / Human-Activity-Recognition-With-Smart-Phone

This project is to build a model that *predicts the human activities* such as __Walking, Walking_Upstairs, Walking_Downstairs, Sitting, Standing__ and __Laying__ as done in Smart-Watches.

machine-learning analytics numpy activity-recognition pandas data-visualization seaborn feature-selection matplotlib feature-engineering scikit correlation-analysis data-pre variance-threshold model-building-and-evaluation

Updated Mar 31, 2024
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abhijha3011 / Techniques-For-Feature-Selection

Techniques For Feature Selection

correlation variance-analysis variance-threshold

Updated Dec 1, 2020
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RimTouny / Feature-Selection

Delved into advanced techniques to enhance ML performance during the uOttawa 2023 ML course. This repository offers Python implementations of Naïve Bayes (NB) and K-Nearest Neighbor (KNN) classifiers on the MCS dataset.

machine-learning feature-selection pca dimensionality-reduction mutual-information chi-square information-gain knn-classification auto-encoder recursive-feature-elimination tsne-visualization bernoulli-naive-bayes variance-threshold wrapper-selection forward-feature-elimination back-feature-elimination

Updated Jan 9, 2024
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vasatodorovic / ToxicityOfMolecules

Predicting toxicity of molecules. Project on course "Data Mining 2"

machine-learning data-mining feature-selection decision-tree-classifier svm-classifier ensemble-classifier random-forest-classifier ada-boost-classifier rfe corelation-of-features boosting-ensemble smote-algorithm variance-threshold select-k-best bagging-classifier

Updated Sep 4, 2023
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RidhaAF / praktikum-machine-learning-5-naive-bayes-183040083

Praktikum Machine Learning 5 - Naive Bayes dengan Variance Thresholding, Mutual Information, dan K-Fold Cross ValidationAssignment

python naive-bayes jupyter-notebook ipynb mutual-information k-fold-cross-validation variance-threshold

Updated Apr 29, 2022
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Seghelicious / Renmoney-Decision-Science-Take-Home

Customer Segmentation using KMeans Clustering with PCA for dimensionality reduction and Variance Thresholding for feature selection

python feature-selection pca dimensionality-reduction kmeans-clustering variance-threshold

Updated Aug 11, 2021
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