How is data prepared for machine learning?
11:45
What is a Machine Learning Engineer
29:19
How to Do Data Exploration (step-by-step tutorial on real-life dataset)
24:27
How to Build Effective AI Agents (without the hype)
17:40
Data Storage for Analytics and Machine Learning
1:44:31
Stanford CS229 I Machine Learning I Building Large Language Models (LLMs)
19:48
Normalization Vs. Standardization (Feature Scaling in Machine Learning)
11:12
Roles in Data Science Teams
3:53:53