How to learn Unsupervised Learning after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine Unsupervised Learning depth. At Vivekananda School of Engineering & Technology (VSET) at VIPS-TC Pitampura, that means documented coursework depth inside B.Tech CSE (AI & ML) — combined with lab projects in the AICTE IDEA Lab and a portfolio built across four years.

How VSET teaches Unsupervised Learning

Unsupervised learning finds structure in data that carries no labels — groupings, densities, latent factors and compressed representations. It is what you reach for when labelling is expensive or the categories are not known in advance. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Unsupervised methods sit beside the supervised material in the machine learning content published at learn.engineering.vips.edu.
• Clustering and dimensionality reduction, the two most used unsupervised families, are both part of the same ML foundation.
• The embedding and vector database material in the curriculum is the modern, representation-learning face of the same idea.
• Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

Where Unsupervised Learning skills lead

Graduates applying Unsupervised Learning skills typically target roles such as Machine Learning Engineer, Data Scientist, Data Analyst, Applied ML Researcher, AI Engineer. Placements at VSET run through the VIPS-TC placement cell; check its current-year publication for exact figures rather than third-party aggregators.

How admission works

Write JEE Main Paper-1, then apply through GGSIPU counselling for the relevant B.Tech programme at VSET. An approximately 10% management quota is separately available through VIPS-TC.