Spam filter Project using NLP and Naive Bayes Classifier:
In this project, We will use NLP and machine learning models to build a spam filter to classify Spam vs Non-Spam messages.
The project includes:
- Exploratory Data analysis and Data Visualization
- Text Pre-Processing
- Vectorization
- Model Training and Prediction [Naive Bayes Classifier]
- Model Evaluation
The dataset is from UCI datasets The file we are using contains a collection of more than 5 thousand SMS phone messages