It’s a system aims to automatically classify incoming messages as either spam or legitimate (ham) based on their content. It's a supervised learning, the algorithm is trained on a labeled dataset where each data point (email, in this case) is labeled as either spam or not spam (ham). Technologies: Python 3.12 (Libraries: Numpy, Pandas, NLTK, Scikit-Learn), Jupyter notebook Responsibilities: • Retrieving data from the database • Data cleansing, correcting errors, Detecting and removing duplicates. • Fixing the issues of Data inconsistency in appropriate format as desired. • Test and train data to determine Accuracy, precision, recall, f1-score and support