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Machine Learning Competition: Mixed Data Regression πŸ“ŠπŸ”

Welcome to my solution for the Machine Learning Competition! πŸš€

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.

Problem Overview 🌟

Dataset Composition:

The dataset encompasses diverse data types: numerical, categorical, datetime, and text.

Data Anonymity:

Feature identities remain undisclosed, adding a layer of complexity to the task.

Task:

It's a regression problem. Our goal is to predict "y" using the given features.

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