Collection of case studies in data science, machine learning, and applied AI that are self-initiated, self-taught, and that I autonomously carried out to completion.
It aims to help someone deliberately apply techniques, metrics, processes and everything in between to real-world problems with an emphasis on the strategic and tactical implications of the choices made at each step.
After completion, someone will have gained a reflex for strategic, tactical, and deliberate thinking about real-world problems.
Python, Pandas, Seaborn, NumPy, Matplotlib
SVM (Linear), SVM (RBF), Decision Tree Classifier
This project is ongoing, check back soon for more.