Foundations for Machine Learning | Conditional probability | Probability & Statistics [Lecture 12]
47:01
Foundations for Machine Learning | Probability and Statistics | An introduction [Lecture 11]
19:58
Foundations for Machine Learning | Bayes Theorem - Intuition and basics [Lecture 13]
39:18
Foundations for Machine Learning | Probability Distributions [Lecture 14]
42:43
Foundations for ML | Naive-Bayes classification, ML model evaluation | confusion matrix [Lecture 16]
20:17
Foundations for Machine Learning | Null & Alternate hypothesis in probability [Lecture 15]
22:31
AI Agents Project with LangGraph & LangChain: Plan & Execute Workflow (Part-1)
59:30
Roadmap to learn and master Machine Learning
22:59