Tutorial 109 - Regression using deep learning
Автор: ZEISS arivis
Загружено: 2021-05-20
Просмотров: 4678
Code associated with these tutorials can be downloaded from here: https://github.com/bnsreenu/python_fo...
This video uses the Boston Housing dataset to explain putting together a deep learning model for regression. It also compares deep learning results with traditional ML results (Linear regression and Random Forest).
Regression is predicting a continuous outcome (y) based on the value of one or more predictor variables (x).
The continuous outcome is typically a numerical value.
Typical examples include predicting house prices or stock value.
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