Please provide me a correct solution.

Project due Mar 1, 2023 17:29 IST Once you have completed the implementation of the 3 learning algorithms, you should qualitatively verify your implementations. In main.py we have included a block of code that you should uncomment. This code loads a 2D dataset from toy_data.txt, and trains your models using T=10,=0.2. main.py will compute and 0 for each of the learning algorithms that you have written. Then, it will call plot_toy_data to plot the resulting model and boundary. Plots 6 points possible (graded) In order to verify your plots, please enter the values of and 0 for all three algorithms. (For example, if =(1,0.5), then type 1,0.5 without the brackets. Make sure your answers are correct up to 4 decimal places.) For the perceptron algorithm: = 0= For the average perceptron algorithm: = 0= For the Pegasos algorithm: = 0=