Mini-Projects
• Rock Paper Scissors Image Classification
• Iris Classification
• Customer Clustering
The pages for these projects are not fully finished and are under construction. I am just linking them now in case someone is curious about my work. Check back later if you would like to see the completed versions.
Rock Paper Scissors Image Classification 
- This project took images of rock paper scissors gestures and created image classification models through Keras with TensorFlow. It developed convolutional and full connected neural networks to compare performance against the different methods.
- This project examined the iris dataset and explored different methods for classification, including: a basic decision tree classifier, Random Forest, AdaBoost and Gradient Boosting. It also examined different hyper-parameters to find the best model through GridSearchCV.
- This project took a customer dataset and explored how the number of clusters affected its results. It used dendograms and SSE curve charts to determine the optimal number of clusters for a 2-D subset of the data.
