Click on this link to access a dynamic version of my Jupyter notebook:

This project has 3 parts:

1. Familiarize yourself with the problem and data
2. Code a KNN Classifier from scratch, evaluate performance, and compare to Scikit-Learn's implementation
3. Interpret results and explain findings.

This will include:

1. Answering simple questions regarding the data
2. Manipulating multiple DataFrames
3. Coding functions to:
   1. Calculate Euclidean distance
   2. Calculate distance between many pairs of points
   3. Implement a majority voting system

-Combine the above to create a custom KNN algorithm -Use KNeighborsClassifier in sklearn