U

unsupervised learning

Sea Urchin is an algorithm that combines dimensionality reduction (UMAP), unsupervised hierarchical clustering (HDBSCAN) and structural alignment (FASTOVERLAP) to quantitatively characterize prevalent coordination environments of chemical species within MD data.

An unsupervised learning program for analyzing molecular dynamics data

Here’s the source code for my exploratory data analysis and model training for a movie recommendation system. The main model deployment code is in this repository.

Deployment Repo: (https://gitlab.com/aydie/ml-model-netflix-recommendation-system)

Website: aydie.in Contact: business@aydie.in

Multinomial belief network: deep Bayesian decoders for unsupervised clustering.

Unsupervised Machine learning framework for well-well depth correlation using logs. Functionalities for converting well-log standard .las file format to other data formats.

Graph analysis tools such as embedding techniques and similarity measures.

Perform PCA followed by k-means and hierarchical clustering analysis on the Breast Cancer Wisconsin data set

Open Source project that utilized the Public Procurement data from Paraguay, in the OCDS format, to train an Anomaly Detection Model with Isolation Forest.