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'Python' is a high-level, general-purpose programming language that emphasises human readability and minimum use of indentation, and is frequently used in Digital Humanities projects.


  • Computer Vision for the Humanities: An Introduction to Deep Learning for Image Classification (Part 2)

    This is the second of a two-part lesson introducing deep learning based computer vision methods for humanities research. This lesson digs deeper into the details of training a deep learning based computer vision model. It covers some challenges one may face due to the training data used and the importance of choosing an appropriate metric for your model. It presents some methods for evaluating the performance of a model.
  • Regression Analysis with Scikit-learn (part 2 - Logistic)

    This lesson is the second in a two-part lesson focusing on regression analysis. It provides an overview of logistic regression, how to use Python (Scikit-learn) to make a logistic regression model, and a discussion of interpreting the results of such analysis.
  • Data Analysis with Python

    This course from dariahTeach introduces learners to the theoretical and practical foundations of an analysis of socio-cultural objects using Python through theoretical grounding and hands-on case studies. Students will work through several research use cases using basic machine learning, and employ network analysis to split a small community network into groups and clusters before finally learning more about visualisation and image analysis.
    • Zarah van Hout
    • Tobias Blanke
    • Giovanni Colavizza
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  • Introduction to Programming for NLP with Python

    The aim of this virtual course is to offer basic knowledge and skills in programming in Python. Target audiences are undergraduate and graduate students in the Humanities and Social Sciences who want to acquire hands-on knowledge and skills in working with textual data or quantitative data in language and humanities research.