1. Linear Regression

• 1.1. Artificial Intelligence and Machine Learning
  • 1.1.1. Artificial Intelligence
  • 1.1.2. Machine Learning
• 1.2. Supervised vs Unsupervised Learning
  • 1.2.1. Supervised Learning
  • 1.2.2. Unsupervised Learning
• 1.3. Linear Regression
• 1.4. Measuring Error
• 1.5. Reading in Data With Pandas
• 1.6. Scatter Plots
• 1.7. Visualising Data
• 1.8. Fitting a Linear Regression Model
• 1.9. Line Plots
• 1.10. Plotting Functions and Visualising Models
• 1.11. Making Predictions
• 1.12. Measuring Error Using the MSE
  • 1.12.1. MSE in Python
  • 1.12.2. Interpreting the MSE
• 1.13. Extension: Fitting The Model
• 1.14. Multiple Linear Regression