My AI/ML journey

Hello, and welcome to my website. In this blog post I am going to document my AI/ML journey. This project is going to take at least 1 year of hands-on experience. So, let's get started.

Table of content

• Reference

Reference

Probability

• Probability for Statistics and Data Science (Udemy - Paid)

Statistics

• Statistics for Data Science and Business Analysis (Udemy - Paid)

Programming

• Python for Data Science and Machine Learning Bootcamp (Udemy - Paid)
• Object Oriented Programming with Python - Full Course for Beginners (YouTube)
• Automate the Boring Stuff with Python By Al Sweigart (Book)
• Automate the Boring Stuff with Python Programming (Udemy - Paid)

Machine Learning

• Machine Learning A-Z: AI, Python & R + ChatGPT Prize (Udemy - Paid)
• ML-For-Beginners (Microsoft - GitHub)
• Machine Learning for Beginners (Microsoft Developer - YouTube)
• Machine Learning Course JavaScript Drawing App (YouTube)

Deep Learning

• PyTorch for Deep Learning & Machine Learning – Full Course (YouTube)
• Deep Learning Basics: Introduction and Overview (Lex Fridman - YouTube)

LLM

• Create a Large Language Model from Scratch with Python – Tutorial (YouTube)

Roadmap

• selfstudy-roadmap-ml-ai (GitHub)
• AI-Expert-Roadmap (GitHub)
• Learn (Kaggle)