The database Voting Records.xlsx** contains data on the voting records for 435 members of the U.S. House of Representatives on 16 important pieces of legislation. The goal is to create a Neural Network model to classify members by party (Republican or Democrat).

In each of the following exercises, the goal is to develop a classification or prediction model for the given situation and data. Follow these steps:

1. Examine the data descriptions and explore the data.
2. Clean the data as needed.
3. Transform the data as needed (e.g., create dummy variables for categorical variables).
4. Partition the data.
5. Run the specified algorithm.
6. Interpret the results and choose the best model (e.g., choose the best k in the k-Nearest Neighbor method).