intent_classification

Detection of email intent as "yes" or "no".

Techniques like GloVe vectors and TF-IDF were used for vectorisation of email texts.
Different ML algorithms like logistic regression, SVC, random forest and ensemble methods were explored.
Finally, training accuracy of 75.1% and test accuracy of 75.4% is achieved with random forest algorithm

Name		Name	Last commit message	Last commit date
Latest commit History 2 Commits
README.md		README.md
ds.png		ds.png
nlp3_v2.html		nlp3_v2.html
nlp3_v2.ipynb		nlp3_v2.ipynb
test.csv		test.csv
test.txt		test.txt
train.csv		train.csv
train.txt		train.txt

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