Machine Learning in Python: Evaluating a Multi-Layer Perceptron Model

In this module, we cover more advanced machine learning using artificial neural networks (ANNs), specifically the multi-layer perceptron. We show how to pre-process the data including scaling. How to train ANNs and plot the history. Throughout this module, we use tools from the Keras package in Python. We also show how to analyze data using Seaborn pairplots, do correlation analysis using Seaborn with a correlation heat map.

To download the Module9Data.csv dataset used throughout this module, click here: https://kodypowell.che.utah.edu/wp-content/uploads/sites/3/2024/04/Module9Data.csv

For the prior lecture video in this series, click here: https://youtu.be/vhIi4Vum-7g

For the next lecture video in this series, click here: https://youtu.be/WS3zvDCsFkk

For a playlist of all lectures for the Smart Systems course, click here: https://www.youtube.com/playlist?list=PLliuty-DnCefs098rXyVkBDAqP-oRElgw

Видео Machine Learning in Python: Evaluating a Multi-Layer Perceptron Model канала Kody Powell