Introduction to Scikit Learn and data management with Pandas

Discover powerful data management techniques using Pandas, including data cleaning, merging, reshaping, and aggregation. Learn how to handle missing data, duplicate entries, and outliers like a pro.

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Daniel Hernández
Research Professor at TecNM/ITT
Daniel is a Research Professor at Tecnólogico Nacional de México/Instituto Tecnológico de Tijuana, working in the Engineering Sciences Graduate program and the Industrial Engineering Department. His research focuses on advancing Artificial Intelligence and Data Science, developing new algorithms, and exploring new applications. With expertise in computer vision, machine learning, evolutionary computation, data mining, and data analytics, Daniel aims to develop algorithms that imbue machines with human-like reasoning capabilities, particularly for predictive, detection, classification, and recommendation tasks. Daniel holds a PhD in Computer.

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