- Introduction
- Course Curriculum & Tips to Succeed
- What is Machine Learning?
- The Two Types of Machine Learning
- Installing Anaconda Navigator and Spyder
- Reading Datasets
- Data Scaling
- One-Hot Encoding
- Python Reference Sheet
- What is Linear Regression?
- Understanding the Cost Function
- The Intuition behind Gradient Descent
- Scenario #1
- Implementing Linear Regression | Part #1
- Implementing Linear Regression | Part #2
- Implementing Linear Regression | Part #3
- Implementing Linear Regression | Part #4
- Final Words
- What is Logistic Regression?
- A Brand New Cost Function
- Adjusting the Gradient Descent Alogirthm
- Scenario #2
- Implementing Logistic Regression | Part #1
- Implementing Logistic Regression | Part #2
- Implementing Logistic Regression | Part #3
- Final Words
- What is a Neural Network?
- Structure of Neural Networks
- Conclusion