This project uses Unsupervised Machine Learning techniques to group customers based on their demographics, income, and purchasing patterns. The project involves data preprocessing, feature engineering ...

A complete, from-scratch Python machine learning system implementing a multivariate Gaussian Mixture Model (GMM) optimized via the Expectation-Maximization (EM) algorithm. The model is trained on the ...

For those of you involved in the manufacturing industry, you may have concerns that "energy conservation is not progressing as well as it should." An effective approach to this is to analyze the power ...

The subthalamic nucleus contains subpopulations with different contributions to deliberative decision-making based on noisy evidence and reward-driven preferences.

The digital revolution and the resulting datafication of society have changed empirical social science research fundamentally. Enormous amounts of data can now be easily stored, managed and analyzed.