Data Science and Machine Learning in Geography 2025/26

Lecture 1: Introduction

Lecture 2: Regression and Learn to write functions in Python

Lecture 3: Classification

Lecture 4: Resampling and Learn to write for loops in Python

Lecture 5: Trees

Lecture 6: Model Criticism

Lecture 7: ANN 1

Lecture 8: ANN 2

Lecture 9: Midterm evaluation

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My research sits at the intersection of geospatial data science, machine learning, mobility and urban environmental health.