How to learn scikit-learn after 12th in Delhi

The degree route

The degree route is a B.Tech with genuine scikit-learn 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 scikit-learn

scikit-learn is a Python library covering classical machine learning: regression, classification, clustering, dimensionality reduction, preprocessing pipelines and model evaluation. It is the standard working library in the machine learning coursework of the CSE AI specialisations at VSET. At VSET this maps to documented coursework depth inside B.Tech CSE (AI & ML).

• Machine learning coursework in the B.Tech CSE (AI and ML) specialisation at VSET uses Python libraries including scikit-learn.
• The CSE AI and Data Science specialisation applies the same library to analytics and modelling work.
• Probability and statistics coursework supplies the evaluation and inference concepts the library implements.
• It is usually the first machine learning toolkit students use before moving to deep learning frameworks.

Where scikit-learn skills lead

Graduates applying scikit-learn skills typically target roles such as Machine Learning Engineer, Data Scientist, Data Analyst, Research Engineer, Business Intelligence Analyst. 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.