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Divided the paragraph into 3 parts. suitability for time series analysis/forecasting was asked twice, I edited it out.
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MasterBlasterCoder
MasterBlasterCoder
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I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it proved that my data is stationary. 

I have 50k records. My task is to take 24 hours of past data, and predict next 12 hours of data. How can I confirm that the data is suitable or not suitable for timeseries analysis? How can I choose correct number of past records so that I can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc. How can I know that the data is suitable for timeseries forecasting? Can

Can you give me the list of tests and plots which I have to perform before building the model?

I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it proved that my data is stationary. I have 50k records. My task is to take 24 hours of past data, and predict next 12 hours of data. How can I confirm that the data is not suitable for timeseries analysis? How can I choose correct number of past records so that I can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc. How can I know that the data is suitable for timeseries forecasting? Can you give me the list of tests and plots which I have to perform before building the model?

I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it proved that my data is stationary. 

I have 50k records. My task is to take 24 hours of past data, and predict next 12 hours of data. How can I confirm that the data is suitable or not suitable for timeseries analysis? How can I choose correct number of past records so that I can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc.

Can you give me the list of tests and plots which I have to perform before building the model?

Cleaned up the paragraph. Several things repeated twice, I edited them out.
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MasterBlasterCoder
MasterBlasterCoder
  • 93
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  • 7

I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it is proved that my data is stationary. My data begins on 2020-01-01 and ends on 2021-11-28, it is only 2 years of data, as the data is recorded every 20 minutes, I have 50k records,. My task is to take 24 hours of past data, 24 hours will have 72 records, and predict next 12 hours of data, 12 hours will have 36 records. Before building the model, what analysis I have to do? How can I confirm that the data is not suitable for timeseries anaylsisanalysis? How can I choose correct number of past records so that iI can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc. I also performed dickey-fuller test. What all different analysis IHow can do so that I will know that the data is suitable for timeseries forecasting? Can you give me the list of tests and plots which I have to perform before building the model?

I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it is proved that my data is stationary. My data begins on 2020-01-01 and ends on 2021-11-28, it is only 2 years of data, as the data is recorded every 20 minutes, I have 50k records, My task is to take 24 hours of past data, 24 hours will have 72 records, and predict next 12 hours of data, 12 hours will have 36 records. Before building the model, what analysis I have to do? How can I confirm that the data is not suitable for timeseries anaylsis? How can I choose correct number of past records so that i can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc. I also performed dickey-fuller test. What all different analysis I can do so that I will know that the data is suitable for timeseries forecasting?

I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it proved that my data is stationary. I have 50k records. My task is to take 24 hours of past data, and predict next 12 hours of data. How can I confirm that the data is not suitable for timeseries analysis? How can I choose correct number of past records so that I can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc. How can I know that the data is suitable for timeseries forecasting? Can you give me the list of tests and plots which I have to perform before building the model?

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MasterBlasterCoder
MasterBlasterCoder
  • 93
  • 2
  • 7

How to analyze data before building a timeseries forecasting model?

I want to build a timeseries forecasting model which uses LSTM layers, I want to know what analysis we have to do prior to fitting the model? My data is recorded every 20 minutes, I performed Dickey fuller test, it is proved that my data is stationary. My data begins on 2020-01-01 and ends on 2021-11-28, it is only 2 years of data, as the data is recorded every 20 minutes, I have 50k records, My task is to take 24 hours of past data, 24 hours will have 72 records, and predict next 12 hours of data, 12 hours will have 36 records. Before building the model, what analysis I have to do? How can I confirm that the data is not suitable for timeseries anaylsis? How can I choose correct number of past records so that i can predict the next few records accurately? I'm planning to plot auto-correlation graphs, trend graphs etc. I also performed dickey-fuller test. What all different analysis I can do so that I will know that the data is suitable for timeseries forecasting?