Hello Connection!! I am happy to inform you that I have completed the Third task of the Prodigy Internship In the the problem statement was as follows-

Problem Statement: Build a decision tree classifier to predict whether a customer will purchase a product or service based on their demographic and behavioral data. Use a dataset such as the Bank Marketing dataset from the UCI Machine Learning Repository The dataset which I employed for this purpose was the titanic dataset as mentioned above. The link for the dataset is as follows- Dataset

Coming to the leanings part- I performed some of the preprocessing of the data using python. Made use of the numpy and pandas library. Learned how to fit a decision tree classifier on the data. Got an experience doing basic ML.