The goal of this assignment is to implement the K$-$Nearest Neighbors $($KNN$)$ algorithm for image classification using the CIFAR$-10$ dataset. You are required to approach this task using two methods:

Utilize a built$-$in function from an existing library, such as scikit$-$learn.

Implement the algorithm independently.

Tasks and Requirements:

Algorithm Implementation:

Employ the KNN algorithm for image classification on the CIFAR$-10$ dataset using both a pre$-$existing library function and a self$-$coded version.

Analyze and compare the performance of both implementations.

Performance Improvement Strategies:

Develop and apply strategies to enhance the performance of your self$-$implemented KNN algorithm. Focus on aspects like accuracy or computational efficiency. need code for above question