GitHub - rooky1905/Toxic_Comments_Classifier: This is a Multi Label Text Classification with implemented with python and ML. I first cleaned and pre-processed the texts, and then created a pipeline, which contained TfidfVectorizer. I used Multinomial Naive Bayes and Logistic Regression classifier. LR gave the best accuracy, averaging around 96%. This is a Kaggle competition problem.

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Name		Name	Last commit message	Last commit date
Latest commit History 1 Commit
Toxic_Comments.ipynb		Toxic_Comments.ipynb
test.csv		test.csv
test_labels.csv		test_labels.csv
train.csv		train.csv

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This is a Multi Label Text Classification with implemented with python and ML. I first cleaned and pre-processed the texts, and then created a pipeline, which contained TfidfVectorizer. I used Multinomial Naive Bayes and Logistic Regression classifier. LR gave the best accuracy, averaging around 96%. This is a Kaggle competition problem.