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Introduction to ML
Welcome Message (Don't Skip!)
What is Machine Learning
How to Get Queries Resolved
Garbage-In Garbage-Out
Broad Types of ML Problems Part-1
Broad Types of ML Problems Part-2
Broad Types of ML Problems Part-3
Marketing and Sales Use Cases
Logistics & Production, HR, Customer Support Use Cases
Course Review
What ML Can and Cannot Do
Data Science vs ML vs AI vs Deep Learning vs Statistical Modeling
Quiz - Introduction to ML
ML Project Workflow
Introduction to ML Project Workflow
Discover
Design
Develop
Testing
Deploy
ML Models & Terminology
Interpreting ML Models
Interpreting ML Models Part-1
Interpreting ML Models Part-2
How to Validate ML Models
Need for Validation Sample
ML Terminology You Need to Know - Part 1 - Supervised vs Unsupervised Learning
ML Terminology You Need to Know - Part 2 - Independent vs Dependent Variables
ML Terminology You Need to Know - Part 3 - More Terms
Special Applications
What is Ensemble Learning
Reinforcement Learning Intuition
Basic Statistical Concepts Part-1
Basic Statistical Concepts Part-2
Role of Significance Tests
Course Review