Here I coded a Logistic Regression and Naive Bayes model in C++ from scratch, and compared the performance against the built-in glm() and naiveBayes() functions. Through this I learned the Algorithm for each of these techniques and how to implement them on a real dataset.
Here I implemented Breadth-First Search, Depth-First Search, Uniform-Cost Search, AStar Search, and a modified UCS and AStar Search with a Heuristic. Through this I learned Uninformed and Informed Search Algorithms and how to implement them for a real world problem. I ensured the Search Algorithms were generalizable to any problem.