pratmo / crime-usa-hierarchical-clustering-ml

Identifying the similarities in crime data from USA and thus forming clusters using hierarchical clustering ML methodology. We also plot the dendrogram for this data. We used the 'ward' method.

Contents:

• Coding Algorithm Series

  • Supervised Machine Learning Algorithms:
    • Regression - Linear Regression (using statsmodels and scikit-learn, ft. correlation, p-value analysis, multicollinearity, VIF, residual and regressor plots, model deletion diagnostics like cook's distance and H.influence points)
    • Classification -
  • Unsupervised Machine Learning Algorithms:
    • Dimensionality Reduction -
    • Clustering -
    • Association Rules -

• Projects

• Mini-Projects

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