GitHub - p-disha/Data-Mining-on-Newsgroup-data: Designed a Machine Learning model which takes newsgroup dataset and performs binary classification to predict if a given document has Atheistic or Christian sentiment. Used LIME library and PySpark. Performed feature selection to improve classifier’s performance.

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Name		Name	Last commit message	Last commit date
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.gitattributes		.gitattributes
cnw282.py		cnw282.py
cnw282_misclassified_ordered.csv		cnw282_misclassified_ordered.csv
cnw282_report.txt		cnw282_report.txt
cnw282_words_weight.csv		cnw282_words_weight.csv

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Designed a Machine Learning model which takes newsgroup dataset and performs binary classification to predict if a given document has Atheistic or Christian sentiment. Used LIME library and PySpark. Performed feature selection to improve classifier’s performance.