NFL Game Predictions in MS Access using existing data
$30-250 USD
Pagado a la entrega
I am now at a crossroads with my NFL stats database. Let me explain; I have designed 3 tables. 1) tblTeams. 2) tblDefensiveStats. 3) tblOffensiveStats. Herein
lies the problem. I can design forms, tables and some query requests on the existing data that I have, but where I am stuck is this; I need access to analyze the upcoming games in 2015, Wks 1-17, by using the pre-existing data from 3 seasons ago, make it's prediction of the straight up winner, and the projected team winner against the given point spread. YouTube has been some help, but I'm obviously missing something. Thank you for your time in advance.
Nº del proyecto: #7890736
Sobre el proyecto
12 freelancers están ofertando un promedio de $182 por este trabajo
Hi. I'v done very similar projects some time before. There where prediction in baseball and horse racing using results from previous season. So I think I will be able to take care to your project too. Regards
Hey, there are many ways to predict outcomes based on historical input data. Do you have any method in mind that you want to implement (or modify before implementing). If you could share some more thoughts, I would be Más
Hi! there, My name is Dipak Moliya. I’ve read your project description and can see that you need access to analyze the upcoming games in 2015, Wks 1-17, by using the pre-existing data from 3 season Más
Hi, I can do the job, just need you to give me the data to be analyzed and the way that data must be used to make a prediction Regards Diego
I am database expert having experience of 2 years.I will help you to design your database as per your requirements.
I am adept at using machine learning algorithms for predictive analysis like random forest, xgboost, ada boost and neural networks in R. The job would involve reading your access tables in R and then building a predict Más
- Fluent english US citizen. - MS Access fanatic. Experience in developing enterprise level applications with Access with multiple users. - Experience with large data sets (up to 4,000 TB tables) - Computer Science Más