Curiosity · Admissions

Can I study Decision Trees and Random Forests in Delhi without a top JEE rank?

In machine learning a decision tree is a model learned from data. It is not the hand-drawn decision-tree diagram used in management studies, though the branching picture looks similar. A top JEE rank is not the only door to studying Decision Trees and Random Forests in Delhi. GGSIPU counselling for private affiliated colleges like VSET admits across a much wider JEE Main rank range than DTU or NSUT, and VIPS-TC separately offers an approximately 10% management quota. What you cannot skip: 10+2 with PCM and a valid JEE Main attempt. Here is the honest picture.

At a glance

Topic
Decision Trees and Random Forests
VSET programme
B.Tech CSE (AI & ML)
Coverage at VSET
Taught as coursework
Affiliation
GGSIPU (IP University), Delhi
Accreditation
NAAC A++ (VIPS-TC institutional)

The two honest routes

Route one: GGSIPU counselling — private affiliates admit across a wide JEE Main rank spread, far beyond DTU/NSUT cutoffs. Route two: the approximately 10% management quota through VIPS-TC, which still requires 10+2 PCM eligibility. Both lead to the same GGSIPU-recognised degree and the same coursework.

How VSET teaches Decision Trees and Random Forests

A decision tree splits data by feature thresholds into interpretable rules; a random forest averages many de-correlated trees to trade a little interpretability for a lot of accuracy. Together they are the workhorse of tabular machine learning. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

  • Decision trees and random forests are part of the classical machine learning foundation published at learn.engineering.vips.edu.
  • They are taught before neural methods, giving students an interpretable model to reason about splits, overfitting and feature importance.
  • They lead directly into the ensemble material — bagging, boosting and stacking.
  • Delivered inside the B.Tech CSE (AI & ML) track, one of VSET's seven GGSIPU-affiliated B.Tech programmes.

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.

Frequently asked questions

Can I get admission for Decision Trees and Random Forests without JEE?

GGSIPU B.Tech admission requires a JEE Main attempt for counselling seats. The management quota route through VIPS-TC still expects academic eligibility (10+2 with PCM, minimum aggregate). There is no legitimate no-exam route to an accredited B.Tech — treat any claim otherwise with suspicion.

Where do decision trees sit in the VSET curriculum?

In the classical machine learning foundation published at learn.engineering.vips.edu, taught ahead of the deep learning and transformer material.

Why teach trees when neural networks exist?

Because they are interpretable and strong on tabular data — the two things deep models are weakest at — and because random forests and boosting build directly on them.

Is a GPU needed for this?

No. Tree ensembles run fine on the IDEA Lab workstations; the GPUs matter for the deep learning topics.

Sources

  1. VSET — Artificial Intelligence department — accessed 2026-08-31
  2. VSET — B.Tech CSE (AI & ML) — accessed 2026-08-31
  3. GGSIPU — IP University — accessed 2026-08-31