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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