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, there is a file named 2nd_degree_regression_MISO_TO_DO. In this file, you are tasked with implementing a 2nd-degree linear regression model for a Multiple-Input- Single-Output (MISO) problem. The objective is to model the relationship between two input variables and one output variable using polynomial regression. Task Breakdown:

  1. Implement Gradient Descent o Complete the missing parts of the code (indicated with comments) to implement the Gradient Descent algorithm. o The goal is to optimize the weights of the model and minimize the cost function to achieve the best fit. o Ensure convergence by using a stopping criterion based on the change in the cost function.
  2. Plotting o The plotting code has already been written in the notebook. After training the model, the plotting section will display: ▪ A 3D plot showing the relationship between the inputs and the output. ▪ Side and front views to show the regression curve's behavior along the axes. ▪ Ensure that the plots correctly show the data points overlaid with the model's predicted surface

本文标签： python2nd Degree Regression (MISO)Stack Overflow

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