AI-ML_Intro_Course

This repo contains the course material for AI/ML introductory course.

ABAITC course website

Course slides

Schedule

Session 1: Intro, Tools, ML basics
Session 2: Prerequisites walk through & EDA with Pandas
Session 3: Linear regression & ML Concepts (How ML model learns?)
Session 4: Regression & ML Concepts 2
Session 5: Classification, clustering
Session 6: NLP and CV intro
Session 7: Advanced learning algorithms
Session 8: Final Quiz

Tools

1. git
2. conda
3. VSCode
4. python ML libraries (pandas, Numpy, matplotlib, scikit-learn, scipy, PyTorch, ...)

Reference

1. https://github.com/mrdbourke/zero-to-mastery-ml/blob/master/section-1-getting-ready-for-machine-learning/a-6-step-framework-for-approaching-machine-learning-projects.md
2. Google Learn Linear Regression
3. Kaggle Learn

General ML Intro

1. A Gentle Introduction to Machine Learning by Statquest
2. Machine Learning | What Is Machine Learning? | Introduction To Machine Learning | 2024 | Simplilearn