This repository contains all of the python code implementations for each topic in the course outline for introduction to intelligent systems
Course Outline: https://believed-bongo-319.notion.site/CCINSYSL-0ba01b779be54aea8fcb966b54d01113?pvs=4
| Folder Name | Topic |
|---|---|
| week_1 | Basic Python Tutorial, Introduction to Google Collab and Jupyter Notebook |
| week_2 | Artificial Intelligence and Machine Learning |
| week_3 | k-Nearest Neighbours (kNN) |
| week_4 | Simple Linear Regression |
| week_5 | Multiple Linear Regression |
| week_6-7 | Logistic Regression |
| week_8 | K-Means |
| week_9 | DBScan |
| week_10 | Introduction to Neural Networks Part 1 |
| week_11 | Neural Networks (Part 2) |
| week_12 |