I need help solve use Python course for practice machine learning in KNN classified:

problem:

Use the wine dataset from the sklearn.datasets.load_wine library to do the following:

a. Load the data (Raw data)

b. Separate the data into Train and Test

c. Find the best value of K. Print the graph

d. Run KNN with the best found value of K and print the accuracy. Based on how the accuracy has behaved for the different values of K