How Coursera uses Data Visualization and Clustering to Categorize Content
In this article, Coursera’s engineering team explains how they categorize their content (courses) using data visualization and clustering.
In this article, Coursera’s engineering team explains how they categorize their content (courses) using data visualization and clustering.
Dimensionality reduction Techniques : PCA, Factor Analysis, ICA, t-SNE, Random Forest, ISOMAP, UMAP, Forward and Backward feature selection.
ArticleVideos Introduction Have you come across a dataset with hundreds of columns and wondered how to build a predictive model on it? Or have …
ArticleVideos Introduction Imagine you get a dataset with hundreds of features (variables) and have little understanding about the domain the data belongs to. You are …