In data analysis and machine learning practice, "dimensionality reduction" is an essential technique for visualizing high-dimensional data and as a preprocessing step for clustering. Representative ...

A framework for analyzing single-cell genomics data, in which geometrical properties are harnessed to obtain insights on cellular diversity, including precise clustering, clear visualizations, and ...

Check out Python’s powerful new linters and profiling tools, and learn how virtual environments can save you time and trouble.

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Final-term quantitative finance project - analyzing the structural dynamics of the Vietnamese stock market using a custom-built PCA pipeline implemented from scratch, without relying on any ML ...

Code for predicting EEG responses to natural images from vision and language model features, and for combining them in an early-fusion ridge encoding model. The pipeline covers the full path from the ...