Explainable Artificial Intelligence (XAI):

Investigating methods to make machine learning models more interpretable and explainable, enhancing trust and transparency in decision-making systems.
Automated Feature Engineering:

Researching techniques for automatically generating relevant features from raw data to improve model performance and efficiency.
Causal Inference in Data Science:

Exploring causal inference methods to determine cause-and-effect relationships from observational data, addressing challenges such
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