Data Manipulations
Published in Machine & deep learning project, 2021
The notebook is quite heavy with visualization of high dimensional dataset. A detailed description of the dataset used for the project is given here. In this project we look out for the best techniques to determine an optimal number of clusters in the given dataset. Due to the volumne of the dataset we have to find the best technique to perform dimensionality reduction to help with two dimensional visuals of the clusters obtained. Details of the various techniques like LDA, PCA, manifold learning etc. Check out notebook here
Recommended credit: I. K. Anni, Kobby. (2021). “Deep learning mini project.” Machine & deep learning projects. 1(2).