Techniques For Feature Selection
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Dec 1, 2020 - Jupyter Notebook
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variance-threshold
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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
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Mar 31, 2024 - Jupyter Notebook
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
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Apr 29, 2022 - Jupyter Notebook
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
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Jan 9, 2024 - Jupyter Notebook
Customer Segmentation using KMeans Clustering with PCA for dimensionality reduction and Variance Thresholding for feature selection
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Aug 11, 2021 - Jupyter Notebook
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
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Sep 4, 2023 - Jupyter Notebook
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