Task_1: Generate a random dataset and apply the concept of KNN Regression to it.
Task_2: Generate a random data set and compare K-Nearest Neighbors Regressor and Linear Regression using the linearity problem.
Task_3: Generate a Random Data Set and Compare K-Nearest Neighbors Regressor and Linear Regression Using the non-linearity problem.
Task_4: This Task uses the bike-sharing dataset. The goal is to predict the count of total rental bikes using the KNN Regressor and the OLS Linear Regression.