Techniques For Feature Selection
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Updated
Dec 1, 2020 - Jupyter Notebook
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variance-threshold
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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
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
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
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
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