General assignment: Pattern, trend, relations: model development and evaluation of housing (Brooklyn, Manhattan, Queens) datasets (https://aquarius.tw.rpi.edu/html/DA/*sales* ). The weighting score for each question is included below. Please use the question numbering below for your written responses for this assignment.
Please include code (fragments and/or scripts) and the plots you generate for the questions below.
1. For any one of the Brooklyn, Manhattan, Queens sales datasets, perform the following:
a. Describe the type of patterns or trends you might look for and how you plan to model them. Describe any exploratory data analysis you performed. Include plots and other descriptions. Min. 2-3 sentences.
b. Pick one or more models (these need not be restricted to the models you've learned so far [multivariate regression, KNN, K-Means]) to explore the chosen data. Interpret the model fits and indicate significance. Describe any cleaning you had to do and why. Min. 2-3 sentences.
2. For your chosen dataset:
a. Apply the model(s) to predict quantities of interest (that you choose). Describe (contingency table) or plot the predictions. Min. 2-3 sentences.
b. Examine the fit(s). Perform a significance test that is suitable for the variables you are investigating and describe the results. Min. 2-3 sentences.
c. Discuss any observations you had about the datasets/ variables, other data in the dataset and/or your confidence in the result. Min 1-2 sentences.
3. Draw conclusions from this study - about the model type and suitability/ deficiencies. Describe what worked and why/ why not. Min. 4-5 sentences.