Fermé

Machine learning

Have a set of data with no known pattern (approximately 700-900 rows) 9 columns per row and a data range of 1-45 (please note it has nothing to do with the lottery, please don’t misunderstand).

Requirements.

1. preferably using Python.

2. the algorithm can be LSTM or whatever you think is more appropriate.

3. when I provide data, I will delete 5-10 rows of data for testing.

4. I will provide the respective next line of data after you complete training.

5, the requirements of the data should be accurate in more than 4 (including 4) This is also the basic requirement for payment, if the data can be consistently accurate in more than 6, can pay a certain amount of bonus in addition to the original negotiated price.

6. The program requires detailed annotations.

[login to view URL] requirements: the results to Excel output, arranged by probability of occurrence, the best output results greater than 9 columns of data for reference.

Compétences : Python, Machine Learning (ML)

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Concernant l'employeur :
( 0 commentaires ) VARSITY, Australia

Nº du projet : #27505581

37 freelancers are bidding on average $161 for this job

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6.4
HamzaBashirr

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5.3
qaisrani123

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5.2
anchalsingh0005

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5.0
sgadou

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4.9
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raghavajay3

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SourabhJha007

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3.1
fernandesfelipe1

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