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multivariate-imputation

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Fa-hub07 / llm-segmentation-using-mice-and-kmeans

Machine learning clustering project for Large Language Model (LLM) segmentation using Multiple Imputation by Chained Equations (MICE), Principal Component Analysis (PCA), and K-Means Clustering to identify performance, cost, and openness-based model segments.

data-science machine-learning clustering pca-analysis pca data-analysis kmeans unsupervised-learning kmeans-clustering unsupervised-machine-learning unsupervised-clustering imputation-methods multivariate-imputation mice-algorithm large-language-models llm

Updated Jun 20, 2026
Jupyter Notebook

MvMukesh / FeatureEngineering-Framework-ML

Industry specific framework of Feature Engineering in Machine Learning

machine-learning datetime scikit-learn outliers feature-engineering feature-scaling discretisation multivariate-imputation variable-types classification-pipelines mixed-variables variable-characteristics categorical-variable-encoding variable-transformation regression-pipeline pipeline-with-crossvalidation

Updated Jan 7, 2025

nichol26 / Machine-Learning

Notebooks in this repository focus on code related to machine learning topics

linear-regression feature-selection feature-engineering data-exploration hyperparameter-tuning support-vector-regression multivariate-imputation

Updated Nov 4, 2020
Jupyter Notebook

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