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Anh Nguyen from Lancaster's Projects

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Teaching repo for Applied Data Science @ Columbia, a project-based course for data science skills (statistical thinking, machine learning, data engineering, team work, presentation, endurance of frustration, etc).

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"Agile Machine Learning with R - A workflow" is an opinionated take on how to do a data science project in R

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Political methodology course focusing mostly on maximum likelihood estimation.

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Advanced R programming: a book

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💻 Material for a course on applied machine-learning for scientists. Taught at EPFL in spring 2017

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As a coursera certified specialization completer you will have a proven deep understanding on massive parallel data processing, data exploration and visualization, and advanced machine learning & deep learning. You'll understand the mathematical foundations behind all machine learning & deep learning algorithms. You can apply knowledge in practical use cases, justify architectural decisions, understand the characteristics of different algorithms, frameworks & technologies & how they impact model performance & scalability.

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Self-paced online workshop from Griffith University Library to learn advanced data wrangling using OpenRefine

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