This project is based on Supervised Learning Techniques and Natural Language Processing Techniques used to build model based on a textual dataset.
- Various Data Visualization methods were implemented to visualize the data.
- Multiple Data Preprocessing step were implemented to make the data ready for model building.
- Two Machine Learning Model a. Support Vector Machine & b. Random Forest were used. (The models gave accuracy of 95.21 & 89.77 respectively)
(Note : The dataset is available on the Kaggle's website or the link in the text document can be followed.)