Explore regression techniques using neural networks and compare their performance to other models in this 22-minute tutorial. Load and preprocess data, including splitting and scaling, before defining and fitting a neural network model. Analyze the results and compare the neural network's performance to other regression models, including decision trees. Gain practical insights into implementing these techniques with downloadable code examples available on GitHub.
Overview
Syllabus
Introduction
Data
Loading Data
Split Data
Scaling Data
Defining Neural Network
Model Fit
Comparison to other models
Comparison to decision trees
Conclusion
Taught by
DigitalSreeni
