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Jupyter Notebooks exploring Machine Learning techniques -- regression, classification (K-nearest neighbour (KNN), Decision Trees, Logistic regression vs Linear regression, Support Vector Machine), clustering (k-means, Hierarchical Clustering, DBSCAN), sci-kit learn and SciPy -- and where it applies to the real world, including cancer detection, predicting economic trends, predicting customer churn, recommendation engines.

License: MIT License

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clustering dbscan dbscan-clustering decision-trees hierarchical-clustering k-means k-nearest-neighbours knn knn-classification knn-classifier logistic-regression machine-learning machine-learning-algorithms machinelearning-python scikit-learn scipy support-vector-machine

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