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  1. Boston-Housing Boston-Housing Public

    Decision Tree Regression model that predicts housing prices in Boston. Python.

    Jupyter Notebook 1

  2. Creating-Customer-Segments Creating-Customer-Segments Public

    Optimized wholesale distributor’s delivery service by classifying their customers into segments given their annual spending amounts of diverse product categories. Python.

    Jupyter Notebook

  3. K-means-Clustering-and-Principal-Component-Analysis K-means-Clustering-and-Principal-Component-Analysis Public

    MATLAB 1

  4. Spam-Email-Classifier Spam-Email-Classifier Public

    Non-linear classifier using SVMs with Gaussian kernels, 98.5% test accuracy

    MATLAB 1

  5. Student-Intervention-System Student-Intervention-System Public

    Student intervention system that allows school officials to predict which students will fail their final exam and intervene accordingly to help these students. Python.

    Jupyter Notebook

  6. Train-a-Smartcab-to-Drive Train-a-Smartcab-to-Drive Public

    Trained smart cab agent simulation using Q-Learning

    Python