machine-learning

My completed machine learning projects. Detailed notes are in each IPython notebook.

NLP

1. Spam Classification
   • Binary classifcation, detects if an email is spam or not spam
   • 98.6% accuracy on testing set
   • Kaggle Challenge
2. Negitive comment sentiment
   • Multiclass, multi label classification of Wikipedia comments.
   • Predicts 6 different classes of negitivity in comments: toxic, severe toxic, obscene,threat,insult and identity hate
   • 96.8% accuracy on testing set
   • Kaggle Challenge
   • Demo App