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.
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t-SNE
The Ultimate Guide to 12 Dimensionality Reduction Techniques (with Python codes)
Dimensionality reduction Techniques : PCA, Factor Analysis, ICA, t-SNE, Random Forest, ISOMAP, UMAP, Forward and Backward feature selection.
40 Must know Questions to test a data scientist on Dimensionality Reduction techniques
Introduction Have you come across a dataset with hundreds of columns and wondered how to build a predictive model on it? Or have come …
Comprehensive Guide on t-SNE algorithm with implementation in R & Python
Introduction Imagine you get a dataset with hundreds of features (variables) and have little understanding about the domain the data belongs to. You are expected …
