added assignment VI

Assignment VI/todo.md

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+Conduct the following analysis for the dataset:
+1. Exploratory Data Analysis
+Explore the statistical aspects of the dataset. Analyze the
+distributions and provide summaries of the relevant statistics. Perform any cleaning,
+transformations, interpolations, smoothing, outlier detection/ removal, etc. required on the
+data. Include figures and descriptions of this exploration and a short description of what
+you concluded (e.g. nature of distribution, indication of suitable model approaches you
+would try, etc.) Min.1 page text + graphics (required).
+
+2. Model Development, Validation and Optimization
+Develop and evaluate three (4000-level) or four (6000-level) or more J models. If possible,
+these models should cover more than one objective, i.e. regression, classification,
+clustering. Consider the efect of dimension reduction of the dataset on model
+performance. Diferent models means diferent combinations of an algorithm and a
+formula (input and output features). The choice of independent and response variables is
+up to you. Explain why you chose them. Construct the models, test/ validate them. Briefly explain the
+validation approach. You can use any method(s) covered in the course. Include your code
+in your submission. Compare model results if applicable. Report the results of the model
+(fits, coeficients, sample trees, other measures of fit/ importance, etc., predictors and
+summary statistics). Min. 2 pages of text + graphics (required).
+
+3. Decisions
+Describe your conclusions from the model
+fits, predictions and how well (or not) it could be used for decisions and why. Min. 1/2 page
+of text + graphics.