1. Find an open source data set from an industry of your choice (Financial, medical, insurance, manufacturing, …).
2. Using the python apply the KNN classification or Random Forest algorithm to build a classification model to predict the class of sample records.
3. Write a code to calculate the accuracy of your model.
4. There are different methods to find out the best value of K (If you use KNN), find one and implement it in your code.