A program that scans real-world news transcripts to analyze sentimental value of words, based on the Presidential Election of 2016, Donald Trump versus Hillary Clinton. We were able to find the frequency of each candidate on each network, using the public's reactions toward the election.
A machine learning program that recognizes different handwriting patterns of digits (e.g. 1, 2, 3) and maximizes its understanding of the patterns. By the end of the program, it should be able to identify a ‘1’ that possibly looks like a ‘7’ (as an example but test cases work for digits 0-9), regardless of the handwriting.