Multivariate Multistep Seq2seq RNN Forecasting.

I have a working example of seq2seq RNN forecasting code, it is working well on 1 step prediction. However, when I tried to predict more than 1 step it failed. the problem is with the shape and probably need more tweaking on the architecture. all training and validation is already there, probably add R2 and RSME is better. for now i use mae and smae. It's all build in Keras.

Skills: Data Science, Keras, Python

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About the Employer:
( 2 reviews ) Indonesia

Project ID: #20345678

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Hello! I am ready to do the project and to explain everything you need. I do only ML/DS projects and have a vast experience in Machine Learning. Please see my portfolio and attached code samples with RNN networks and s More

€50 EUR in 2 days
(21 Reviews)

7 freelancers are bidding on average €94 for this job


I have a good hands on working with Advanced R and Python and BI tools and technologies, AI, Big Data. I have quite a good knowledge of DL/ML Algorithm , have also developed Dashboards and Web Applications using flask/ More

€100 EUR in 7 days
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Hi I am a very experienced statistician, data scientist and academic writer. I have completed several PhD level thesis projects involving advanced statistical analysis of data. I have worked with data from several comp More

€250 EUR in 7 days
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I am a professional data scientist from Scotland, I have a great amount of experience in multivariate analysis and RNN forecasting. I am here to discuss your project further.

€77 EUR in 1 day
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I have worked on many seq2seq models before and I think I know why it fails to predict more than one steps. Contact me to discuss about it.

€50 EUR in 1 day
(5 Reviews)

Hello. I have read your project details before placing my bid. I can assure you that I can deliver high quality work on time. I am willing to start immediately. Thank you very much.

€60 EUR in 7 days
(4 Reviews)

hello, I'm very interested in your project. I worked on several prediction/machine learnig projects with python keras .Please contact me to discuss more about the project.

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