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first attempt at the combination of demographics into one binary variable based on gower clustering, then classifying this binary variable using various classification algorithms

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James Twose
2021-12-06 10:32:17 +01:00
parent bb96398104
commit ac27be6bab
3 changed files with 2153 additions and 85 deletions
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citizen_shield/citizen_shield_demographics_both.ipynb
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citizen_shield/citizen_shield_demographics_clustering.ipynb
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citizen_shield/extras.py
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@@ -330,4 +330,4 @@ def tSNE(
for x, y, tag in zip(df_tsne["t-SNE (x)"], df_tsne["t-SNE (y)"], df_tsne[tag]): for x, y, tag in zip(df_tsne["t-SNE (x)"], df_tsne["t-SNE (y)"], df_tsne[tag]):
plt.annotate(tag, (x, y), fontsize=label_fontsize, alpha=0.75) plt.annotate(tag, (x, y), fontsize=label_fontsize, alpha=0.75)
return fig, ax return fig, ax, df_tsne