This project classifies a given email content into one of the four topics.

Email Format:

• Json lines format: The data can be loaded into a list, where each item is a parseable JSON object.
• Data format: Each email has Subject, Body, Date (datatime stamp in which the email was recieved)
• Example format: [ {"Subject": "", "Body": "", "Date": datetime, "Label": ""} , {"Subject": "", "Body": "", "Date": datetime, "Label": ""} ... ]

Output Labels:

• Classify the email as one of the four topics: ["sports", "world", "scitech", "business"]

Dataset:

• Train data: Contains 860 training samples used to train the model
• Test data (stand-alone): Contains 200 testing samples used exclusively to evaluate the model after training.