Lecture

Data Science Essentials: Python, Numpy, Pandas, and Scikit-learn

In course

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Description

This lecture provides a general introduction to Data Science, covering the course organization, a Python crash course, and data science using the Python scientific stack. The exercises include extracting information from DNA sequences, one-hot encoding DNA sequences, and operating on dataframes for DNA sequences classification with random forests.

Instructors (3)

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Official source

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Ontological neighbourhood

Computer engineering

Computer architecture: Topics in computer architecture

Computer data storage: File systems

Biology

Genetics: Molecular genetics

Theoretical computer science

Programming language theory: High-level programming languages

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