Welcome to my solution for the Machine Learning Competition! π
In this intriguing challenge, we dive into a dataset with a unique mix of data structures: numerical, categorical, DateTime, and text. The twist? The data remains anonymous, concealing the true nature of its features. Our mission? To crack the code and predict "y" in this regression problem.
The dataset encompasses diverse data types: numerical, categorical, datetime, and text.
Feature identities remain undisclosed, adding a layer of complexity to the task.
It's a regression problem. Our goal is to predict "y" using the given features.