https://github.com/gaaniruddha/fit5047
This repository contains the two assignment that were completed as a part of "FIT5047 Fundamentals of AI", taught at Monash Uni in S1 2020.
https://github.com/gaaniruddha/fit5047
bayesian-networks classification decision-trees knn naive-bayes regression
Last synced: 12 months ago
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This repository contains the two assignment that were completed as a part of "FIT5047 Fundamentals of AI", taught at Monash Uni in S1 2020.
- Host: GitHub
- URL: https://github.com/gaaniruddha/fit5047
- Owner: gaaniruddha
- Created: 2024-12-31T10:27:48.000Z (over 1 year ago)
- Default Branch: main
- Last Pushed: 2024-12-31T10:41:33.000Z (over 1 year ago)
- Last Synced: 2025-02-26T21:25:43.374Z (over 1 year ago)
- Topics: bayesian-networks, classification, decision-trees, knn, naive-bayes, regression
- Language: Python
- Homepage: https://handbook.monash.edu/2020/units/FIT5047?year=2020
- Size: 1.9 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
**AI Assignment:**
- assignment-1.pdf: Contains assignment 1 specifications.
- Q1.py: Contains python code for Q1 of assignment 1.
- assignment-2-solutions.pdf: Assignment 2 questions and answers documented.
**Topics covered:**
1. Assignment 1:
- Python code that plans a path from a given starting tile to a goal tile.
2. Assignment 2: Bayesian Networks, Separation, Classification, Decision Trees, Naive Bayes, k-NN, Regression