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Data preparation: data understanding, heatmaps, data cleaning, dimensionality reduction

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Data Preparation: Data Understanding, Heatmaps, Data Cleaning, Dimensionality Reduction

Dimensionality reduction with Kmeans and PCA method.
Dataset: Hospital data
Specifically library:

  • from sklearn.cluster import KMeans
  • from sklearn.decomposition import PCA

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