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  1. GridSearchPipelines GridSearchPipelines Public

    Pipelines that can be reused for multiple use cases to hyper-tune models. Can change the model and parameters to test others beyond the SVM, decision tree and KNN shown. Examples of standardization…

    Jupyter Notebook

  2. Tensorflow-MNIST-Predictions Tensorflow-MNIST-Predictions Public

    Deep learning with dense layers and dropout to predict MNIST numbers, and some data + model exploration.

    Jupyter Notebook

  3. KMeans-Clustering KMeans-Clustering Public

    Clustering with k automatically tuned on maximum silhouette score, and the within-cluster sum of squares plotted.

    Jupyter Notebook

  4. AB_Testing AB_Testing Public

    Reference codes to set up and evaluate AB tests.

    Jupyter Notebook