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# Supervised Learning

# TODO: Newspaper Article Classifier (K-Nearest Neighbour Classifier)

# 1. Create a corpus of news articles which are already classified into Tech & Non-Tech.
#     a. Download Tech news articles and label them as Tech.
#     b. Download Non-Tech news articles and label them as Non-Tech.
# 2. Create a problem instance from a blog. An article that needs to be classified.
# 3. Use the KNN Algorithm to classify the problem instance.
#     a. Represent each article as a vector of the 25 most important words in the article.
#     b. The distance between articles is calculated using the number of important words that they have in common.
#     c. Find the K-Nearest Neighbours to carry out a majority vote. Assign the article to that category.



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