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Program for lottery prediction - using machine learning / tensorflow

I would like to order a program that would use a deep neural network/machine learning to predict a set of numbers more likely to be drawn in a specific lottery. The game is based on 36 balls being loaded into a chamber and one ball being selected at random from the grouping. The game is run four (4) times each day seven (6) days per week always 1 through 36 balls.

Attached is the data set within a 7-year history.

Instead of predicting the individual number to be drawn per DRAW essentially a probability of 1 in 36 we would like to predict the Line representing the number most likely to be played essentially a 4 in 36 and the % of each LINE BEING called.

The lines are based on the sum function of each individual number from 1 - 36.

E.G. The number 15 = 1+5= LINE 6 or 27 = 2+7=LINE 9

Line 1 - (1, 10,19, 28)

Line 2 - (2, 11,20, 29)

Line 3 - (3, 12, 21, 30)

Line 4 - (4, 13,22, 31)

Line 5 - (5, 14,23, 32)

Line 6 - (6, 15,24, 33)

Line 7 - (7, 16,25, 34)

Line 8 - (8, 17,26, 35)

Line 9 - (9, 18, 27, 36)

The program could use TensorFlow, RNN but it is not mandatory (It is my preference, but you can suggest something better)

I need the program to be easy to use, and to allow me to add new historical results and alter the results based on new data I add to it.

It's 1 number (4 times per day) but the program must shows at most 3 LINES the number is expected to be called from.

Keep it simple, but functional. Should this be solved this would be an ongoing project.

Dataset [login to view URL]

Evner: C programmering, Maskinoplæring, Python, Statistikker, Tensorflow

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Om arbejdsgiveren:
( 0 bedømmelser ) Trinidad and Tobago

Projekt ID: #18962315

Tildelt til:


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29 freelancere byder i gennemsnit $296 på dette job


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