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Fix em dash
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README.md

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@@ -11,7 +11,7 @@ Decision tree/random forest
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In this model, I built a generalized decision tree that can be used to make predictions on all kinds of datasets. The two problems that I tested it on were:
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* Spam prediction (~81% validation accuracy)
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* Census data prediction (binary indicator of wealth based on other factors like marital status, occupation, education level, etc. --- ~85% validation accuracy)
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* Census data prediction (binary indicator of wealth based on other factors like marital status, occupation, education level, etc. ~85% validation accuracy)
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K-means
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