AL-702 (D) RGPV B.Tech
Machine Learning for Data Science (MLDS)
Previous year papers and the official syllabus are free to read, no account needed.
Previous Year Papers
2 papers, latest Jun 2025
Syllabus, notes and important questions for AL-702 (D)
Syllabus units
Topics as the official RGPV syllabus lists them.
Unit 1 Introduction 7 topics
- Algorithms and Machine Learning
- Introduction to algorithms
- Tools to analyze algorithms
- Algorithmic techniques: Divide and Conquer
- Examples
- Randomization
- Applications
Unit 2 Algorithms 7 topics
- Graphs
- Maps
- Map searching
- Application of algorithms: stable marriages example
- Dictionaries and hashing
- Search trees
- Dynamic programming
Unit 3 Application to Personal Genomics 7 topics
- Linear Programming
- NP completeness
- Introduction to personal Genomics
- Massive raw data in Genomics
- Data science on personal genomes
- Interconnectedness on personal genomes
- Case studies
Unit 4 Machine Learning 7 topics
- Introduction
- Classification
- Linear Classification
- Ensemble classifiers
- Model selection
- Cross validation
- Holdout
Unit 5 Machine Learning Applications 6 topics
- Probabilistic modelling
- Topic modelling
- Probabilistic inference
- Application: prediction of preterm birth
- Data description and preparation
- Relationship between machine learning and statistics