Looking Back, Looking Forward

Introduction to Linear Modeling in Python

Jason Vestuto

Data Scientist

Exploring Linear Relationships

• Motivation by Example Predictions
• Visualizing Linear Relationships
• Quantifying Linear Relationships

Building Linear Models

• Model Parameters
• Slope and Intercept
• Taylor Series
• Model Optimization
• Least-Squares

Model Predictions

• Modeling Real Data
• Limitations and Pitfalls of Predictions
• Goodness-of-Fit

Model Parameter Distributions

• modeling parameters as probability distributions
• samples, populations, and sampling
• maximizing likelihood for parametric shapes
• bootstrap resampling for arbitrary shapes
• test statistics and p-values

Goodbye and Good Luck!

Introduction to Linear Modeling in Python