VTU 2018 Machine Learning Lab: 10 Programs and Data Files

This repository provides datasets and source code specifically curated for the Visvesvaraya Technological University (VTU) 7th-semester 2018 Machine Learning Lab curriculum. Developed by rajathv and last updated in 2021, the collection supports the implementation of foundational algorithms including ID3, Naive Bayes, and Candidate Elimination.

Use Cases

• Implementing the Find-S algorithm using provided training examples
• Building decision trees with the ID3 algorithm dataset
• Training a Naive Bayes classifier on the included categorical data

Strengths

• Includes corresponding Python implementation code for each dataset
• Covers specific logic-based algorithms like Candidate Elimination and Find-S
• Directly aligned with VTU 2018 academic standards

Limitations

• Small sample sizes typical of academic lab exercises
• Lack of detailed metadata or column headers for some files
• Temporal staleness relative to modern machine learning benchmarks

Provenance

Source

Visvesvaraya Technological University (VTU) curriculum

Collection Method

Curated for academic lab programs

Time Range

2018

Freshness

Last updated April 2021; reflects the 2018 academic curriculum.

Geography

India