Performed an analysis on pet adoption speeds utilizing Decision Trees, Random Forest, Neural Networks, and SVM to extract animal features given by adoption centers to improve allocation of resources for long-term animals.
Decision Tree (Ashley Pang)
Link: https://colab.research.google.com/drive/1yHBau067-yP7q6b1TWQAmEk7WgKNaRdW?usp=sharing
Random Forest Model (Ryan Lu)
Link: https://colab.research.google.com/drive/1K58NpGfjoAW_gonOTQTsoEaIax4jptT1?usp=sharing
Neural Network (Benjamin Denzler)
Link: https://colab.research.google.com/drive/1yzhgV6mGTY0d8ugMzRmerBu8JNI4x8cp?usp=sharing
Support Vector Machines (Charles Alaras)
* Note: Manual Implementation + Comparison of implementations can be found in folder CS_235_Pet_Adoption_Speed_Support_Vector_Machines_FINAL_(Charles_Alaras). Below is a colab link to midterm code.
Link: https://colab.research.google.com/drive/1ACq8dHsWYHtX7Ih1kpoWbdfhI_NXQwk7?usp=sharing