This is a collection of links, in various evolving categories, helping one quickly develop insights into and predictions from data.
Tips, trick and accelerators
Worked Example Crib Sheets
Reduce dimensionality by either selecting the most informative features or transforming them into a low-dimensional manifold using dimensionality reduction methods e.g. PCA, LLE, etc. https://machinelearningmastery.com/feature-selection-machine-learning-python/
- feature selection: you select a subset of the original feature set; while
- feature extraction: you build a new set of features from the original feature set.