my projects from Udacity's Machine Learning Nanodegree
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P1: Boston Housing Prices. Supervised learning project using decision tree regression to predict Boston housing prices.
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P2: At-Risk Student Intervention System. Supervised classification project applying random forests, logistic regression, and a support vector classifier to locate at-risk students in need of intervention from their school system.
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P3: Customer Segmentation. Unsupervised learning project using principal component analysis and k-means clustering to create customer segments for A/B testing.
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P4: Smart-Car Automation. Reinforcement learning project applying Q-learning to teach a cab to learn optimal routes to its destination in a simulated environment.