This machine learning application predicts house prices based on the Ames Housing dataset, combining robust data analysis with an intuitive user interface.

After finishing Andrew Ng's Machine Learning specialization, I was eager to apply what I learned and put the concepts into practice. I started working on this project to gain hands-on experience and deepen my understanding.

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This paper presents an empirical analysis of oracle-based Bayesian persuasion.

I ran two computational experiments to examine how different receiver belief distributions influence optimal messaging policies and sender utility.

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