Machine learning pipeline with Python for predictive models construction
In the dynamic landscape of data science, constructing robust predictive models is paramount. This bootcamp is your comprehensive guide to building end-to-end machine learning pipelines using Python, empowering you to transform raw data into actionable insights.
2 MB
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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