How to reduce the dimensionality of a Sparse Matrix in Python?
To view more free Data Science code recipes, visit us at: https://bit.ly/3ASI959
A sparse matrix is a matrix with most of its elements as 0s. This matrix is mainly observed in NLP while making a word co-occurrence matrix. Dimensionality reduction of a sparse matrix is essential to balance the number of rows and the number of columns. This video teaches you to reduce the dimensionality of a sparse matrix in Python.
Why ProjectPro? With ProjectPro, you can access a curated library of verified, solved end-to-end project solutions in data science, machine learning, and big data. We also offer Tech support and 1-1 sessions.
So, check out ProjectPro - the only solution for solved industrial-grade projects.
Also, subscribe to our channel to get video updates.