Write a Tutorial on How to Analyze Your Data using Linear Regression OR k-Nearest Neighbor

Using the same application and data that you have chosen in Homework 1, write a technical tutorial/blog (>250 words) documenting:

• how either the linear regression or k-nearest neighbor technique (or both) could be applied to your application & data?
• what decision/insight will your analysis support?
• how would you define the feature vectors?
• how would you define the labels?
• discuss the significance of the resultant analysis, its strengths and weaknesses

You are expected to actually write Python code to perform the analysis and document the whole process, so that you can refer to it after you graduate!

Post your writing in Laulima->Discussions->Writing Assignment 2.