/Email-Spam-Filtering

• Dealt with a vast and unstructured dataset by strategically subsampling 1000 data entries at a time, ensuring equal representation of both spam and non-spam emails to tackle data imbalance effectively & used cutting-edge NLP techniques to thoroughly clean the data & by this was able to achieve outstanding accuracy boost elevating the performance

Primary LanguageJupyter NotebookMIT LicenseMIT

Email-Spam-Filtering

Used various NLP preprocessing technique to clean the data(The dataset was very unclean)...