I am seeking a statistician or data modeler to help analyze my NFL dataset (127 columns, 2000 row)
The programming must be done in R or python.
-Setup a script for dynamic linear programming where program will cycle through all model permutations. Must be compatible with several dependent variables. For example, total game score, home team score, score differential, etc.
-Script to cycle through every variable iteration and determine any trends on a dependent variable (pure data mining). Note this is not a model but rather advanced correlation analysis. For example when a & b & c, z outcome occurs 65% of the time.
You will receive a small subset of this as I only need the programming setup.
Please send me similar work examples and we can get started right away!