# Anthology of Data Science

## Pages

- [An anthology of open access data science materials](https://anthology-of-data.science/index.llms.md)
- [EnteroBase - hierarchical clustering of 100 000s of bacterial genomes into species/subspecies and populations](https://anthology-of-data.science/cases/enterobase/index.llms.md)
- [Selected use cases & applications](https://anthology-of-data.science/cases/index.llms.md)
- [Inzicht in energiearmoede](https://anthology-of-data.science/cases/energiearmoede/index.llms.md)
- [Verkeersveiligheidmodel](https://anthology-of-data.science/cases/verkeersveiligheidmodel/index.llms.md)
- [DAPS - Data-Analytic Problem Structure](https://anthology-of-data.science/posts/daps/index.llms.md)
- [Getting into Python](https://anthology-of-data.science/posts/python/index.llms.md)
- [Effective Python and idiomatic pandas](https://anthology-of-data.science/posts/python/effective-python-and-idiomatic-pandas.llms.md)
- [Data visualization with Vega-Altair](https://anthology-of-data.science/posts/altair/index.llms.md)
- [What is Altair?](https://anthology-of-data.science/posts/altair/video-altair-intro.llms.md)
- [Comet charts in Python](https://anthology-of-data.science/posts/altair/comet-chart.llms.md)
- [Altair's data types](https://anthology-of-data.science/posts/altair/video-altair-data-types.llms.md)
- [The Precision-Recall Plot Is More Informative than the ROC Plot](https://anthology-of-data.science/posts/precision-recall/index.llms.md)
- [Portable dataflows with Ibis and Hamilton](https://anthology-of-data.science/posts/hamilton-ibis/index.llms.md)
- [Analytical problem solving](https://anthology-of-data.science/posts/analytical-problem-solving/index.llms.md)
- [Modern, hybrid, open analytics](https://anthology-of-data.science/posts/ibis-analytics/index.llms.md)
- [Engineering data science & AI platforms](https://anthology-of-data.science/lectures/engineering-part-2.llms.md)
- [Composable data platforms](https://anthology-of-data.science/lectures/composable-data-stack.llms.md)
- [Real World Data Science](https://anthology-of-data.science/lectures/real-world-data-science.llms.md)
- [Notebooks and explainers with code](https://anthology-of-data.science/notebooks/index.llms.md)
- [R for Data Science, Second Edition](https://anthology-of-data.science/books/r4ds.llms.md)
- [Critical Data Studies](https://anthology-of-data.science/books/cds.llms.md)
- [Fairness and Machine Learning](https://anthology-of-data.science/books/fairml.llms.md)
- [Understanding Deep Learning](https://anthology-of-data.science/books/udl.llms.md)
- [Mathematics For Machine Learning](https://anthology-of-data.science/books/mml.llms.md)
- [Ethics of Artificial Intelligence](https://anthology-of-data.science/books/ethics.llms.md)
- [An Introduction to Statistical Learning](https://anthology-of-data.science/books/islp.llms.md)
- [Fundamentals of Data Visualization](https://anthology-of-data.science/books/fdv.llms.md)
- [Introduction to Modern Statistics (2nd edition)](https://anthology-of-data.science/books/ims2.llms.md)
- [Causal Inference and Machine Learning](https://anthology-of-data.science/books/causal.llms.md)
- [Causal Inference: What If](https://anthology-of-data.science/books/what-if.llms.md)
- [Forecasting Principles & Practice the Pythonic Way](https://anthology-of-data.science/books/fpp.llms.md)
- [Advanced Data Analysis from an Elementary Point of View](https://anthology-of-data.science/books/shalizi.llms.md)
- [Interpretable Machine Learning](https://anthology-of-data.science/books/iml.llms.md)
- [Python of Data Analysis, Third Edition](https://anthology-of-data.science/books/pda.llms.md)
- [The Turing Way](https://anthology-of-data.science/books/turing-way.llms.md)
- [Demonstration of overfitting and underfitting](https://anthology-of-data.science/notebooks/overfitting/index.llms.md)
- [Deconfounding explained](https://anthology-of-data.science/notebooks/deconfounding/index.llms.md)
- [lectures](https://anthology-of-data.science/lectures.llms.md)
- [Physics-informed machine learning](https://anthology-of-data.science/lectures/piml.llms.md)
- [Explainable Boosting Machines](https://anthology-of-data.science/lectures/gam-ebm.llms.md)
- [Generative AI](https://anthology-of-data.science/lectures/generative-ai.llms.md)
- [RIP correlation. Introducing the Predictive Power Score.](https://anthology-of-data.science/posts/predictive-power-score/index.llms.md)
- [The Design Philosophy of Great Tables](https://anthology-of-data.science/posts/design-philosophy/index.llms.md)
- [Stop aggregating away the signal in your data](https://anthology-of-data.science/posts/stop-aggregating-signal/index.llms.md)
- [Visualization curriculum with Altair](https://anthology-of-data.science/posts/altair/curriculum.llms.md)
- [Exploratory data analysis with Altair](https://anthology-of-data.science/posts/altair/ames-housing-eda-with-altair.llms.md)
- [Altair's visualization grammar](https://anthology-of-data.science/posts/altair/video-altair-grammar.llms.md)
- [Amazing Altair with an even better theme](https://anthology-of-data.science/posts/altair/better-altair-theme.llms.md)
- [Getting into Python with RealPython.com](https://anthology-of-data.science/posts/python/realpython.llms.md)
- [A Whirlwind Tour of Python](https://anthology-of-data.science/posts/python/whirlwind.llms.md)
- [Perspectives on data science](https://anthology-of-data.science/posts/index.llms.md)
- [Predict precence of wolf pairs in Germany with XGBoost and SHAP](https://anthology-of-data.science/cases/wolves-in-germany/index.llms.md)
- [The landscape of biomedical research](https://anthology-of-data.science/cases/landscape-biomedical-research/index.llms.md)
- [Multimodal prediction of climatic parameters using street-level and satellite imagery](https://anthology-of-data.science/cases/microclimate-vision/index.llms.md)
- [Classifying rice grains using deep learning](https://anthology-of-data.science/cases/rice-grain-classification/index.llms.md)
- [books](https://anthology-of-data.science/books.llms.md)