# [login to view URL] Time Series Data in Q Learning Environment

We have a large amount of Data available to use for this project. Data is saved approximately every 1 second and there are over 200 elements in the array. The data has fields which are to be ignored and we can supply an index for the array to discover these as well as a list we will provide. We do not require to use all these elements and can use about 20 inputs if needed as we understand which elements are correlated.

We have been developing a lot of things in-house but are not able to dedicate the time to Tensorflow and would like someone to join our team and work with us to create AI algorithms for many different datasets we will have.

This is a first project and would require the following.

1. You will need to pre-process data and scale/normalize as needed.

2. Create [login to view URL] app that will read the data and train.

3. Have a graph to display the training results to see it working.

4. Supply the app for us to use for training as we have a large machine capable of doing the main training.

5. We see the app trained and able to use the model in our live environment where we can feed in the array and have an expected prediction.

Please note: We have a machine for use of training the data that has a lot of resources so you will not be required to train the entire dataset. However we need to ensure we have the correct code before we train. Thank you.

The data is for a CryptoCurrency Market and we have many data points and the price.

Using a Deep Learning algorithm, we hope to be able to have the model learn how to best predict a price for the market and give an approximate for 1, 2, 3, 5 minutes ahead. So we will not need predictions for all the elements, just the price.

The data is currently stored in a MySQL Database which we can supply connection details for you.

Here is a sample of a row of data.

[41,15,6,-18,-9,-5,-6,-5,-4,-2,0,0,40,39,34,1588137457000,0,-13,-11,-19,-8,6,-1,-1,-2,2,2,1,-13,-13,-13,3,-7,-8,-11,-12,-16,-12,-8,-6,-5,-2,-1,-5,-5,-6,80,0,0,0,0,0,0,0,0,0,0,0,0,0,0,0.47,0.29,-0.53,-0.35,0.41,0.26,-0.21,-0.36,-0.11,-0.12,-0.13,0.2,0.29,0.42,0,0,0,0,0,0,0,0,0,0,0,0,0,0,39,19,-25,-5,6,-2,-2,-2,2,1,0,65,79,71,7866,7866.5,7866.5,7870.08,473092713,7732.38,7732.32,7731.74,7733.55,7733.7,7725.95,7721.37,7732.73,7733.34,7723.63,7719.57,7732.17,7732.19,7732.33,85,100,48,84,-51,74,0,0,0,0,0,0,0,43.68173944,127.44886589,700.58688061,2384.01815733,3291.37718473,5092.20102529,5092.20102529,5092.20102529,5092.20102529,5092.20102529,5092.20102529,5092.20102529,0,0,1.71,1.71,1.71,1.71,1.71,1.71,1.71,1.71,1.7,1.7,1.7,1.7,2.22,-5,7862.07,-2,7864.43,-6,7856.56,-6,7856.56,5,7886.17,4,7882.23,13,7968.76,11,7953.03,15,8161.49,16,8181.16,12,7871.22,13,7872.01,40.42009216,83.76458385,423.79097488,1551.71508512,223.99905948,1570.25538784,0,0,0,0,0,0,0,3.26164728,0.0025426,149.34703984,131.7161916,683.35996792,230.56845272,0,0,0,0,0,0,0]

Về Bên Thuê:
( 128 nhận xét ) Australia

ID dự án: #25829306

## Được trao cho:

helmot

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