Can’t get more data? Less noisy might do the trick — In more traditional industries like manufacturing or health care, machine learning is only beginning to unfold its potential to add value. The key for those industries will be to switch from model-centric towards data-centric machine learning development.[1] As Andrew Ng (co-founder Coursera and deeplearning.ai, …

The principal component analysis (PCA) involves rotating a cloud of data points in Euclidean space such that the variance is maximal along the first axis, the so-called first principal component. The principal axis theorem ensures that the data can be rotated in such away. …

In this article, we like to give you a step by step guide on how to document your Python Data Science project effectively as part of your machine learning model development. You find our example code on GitHub. The solution, we propose, ensures that your documentation is version controlled, shipped…