Applied Machine Learning: Value Estimation

Introduction

• Worth a look: The power of value estimation
• What you should know
• How to use Codespaces

1. Introducing Value Estimation with Machine Learning (ML)

• Overview of value estimation
• Data exploration and cleaning
• Challenge: Load, explore, and clean data
• Solution: Load, explore, and clean data

2. Building a Linear Regression Model

• Overview of linear regression models
• Train model: Linear regression
• Evaluate model: Linear regression
• Make predictions: Linear regression
• Challenge: Implement a linear regression model
• Solution: Implement a linear regression model

3. Building an XGBoost Model

• Overview of XGBoost models
• Train a model: XGBoost
• Evaluate a model: XGBoost
• Make predictions: XGBoost
• Challenge: Implement an XGBoost model
• Solution: Implement an XGBoost model

4. Deployment

• MLflow overview
• Serving the model
• Challenge: Deploy the XGBoost model
• Solution: Deploy the XGBoost model

Conclusion

• Next steps in your machine learning value estimation journey