How do concatenate over many datasets?












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I am working on a project where I would like to take two timeseries datasets and train a machine learning model. Say for example, APPL stock performance and MSFT. These are two different excel spreadsheets. Each includes historical stock information (historical prices) for the last 5 years. Each trading day is a new "sample." In this case how can I treat each stock as an individual sample?



ie.



           Price
4/19/20 100 (Apple)
64 (MSFT)
4/18/20 101 (APPL)
45 (MSFT)


See my problem? Each sample has two samples. How should I deal with this. Ideally, I could construct a dataset with 100 different stocks.










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    $begingroup$


    I am working on a project where I would like to take two timeseries datasets and train a machine learning model. Say for example, APPL stock performance and MSFT. These are two different excel spreadsheets. Each includes historical stock information (historical prices) for the last 5 years. Each trading day is a new "sample." In this case how can I treat each stock as an individual sample?



    ie.



               Price
    4/19/20 100 (Apple)
    64 (MSFT)
    4/18/20 101 (APPL)
    45 (MSFT)


    See my problem? Each sample has two samples. How should I deal with this. Ideally, I could construct a dataset with 100 different stocks.










    share|improve this question







    New contributor




    QFII is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
    Check out our Code of Conduct.







    $endgroup$















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      0








      0





      $begingroup$


      I am working on a project where I would like to take two timeseries datasets and train a machine learning model. Say for example, APPL stock performance and MSFT. These are two different excel spreadsheets. Each includes historical stock information (historical prices) for the last 5 years. Each trading day is a new "sample." In this case how can I treat each stock as an individual sample?



      ie.



                 Price
      4/19/20 100 (Apple)
      64 (MSFT)
      4/18/20 101 (APPL)
      45 (MSFT)


      See my problem? Each sample has two samples. How should I deal with this. Ideally, I could construct a dataset with 100 different stocks.










      share|improve this question







      New contributor




      QFII is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.







      $endgroup$




      I am working on a project where I would like to take two timeseries datasets and train a machine learning model. Say for example, APPL stock performance and MSFT. These are two different excel spreadsheets. Each includes historical stock information (historical prices) for the last 5 years. Each trading day is a new "sample." In this case how can I treat each stock as an individual sample?



      ie.



                 Price
      4/19/20 100 (Apple)
      64 (MSFT)
      4/18/20 101 (APPL)
      45 (MSFT)


      See my problem? Each sample has two samples. How should I deal with this. Ideally, I could construct a dataset with 100 different stocks.







      machine-learning pandas machine-learning-model






      share|improve this question







      New contributor




      QFII is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.











      share|improve this question







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      Check out our Code of Conduct.









      share|improve this question




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      asked 21 mins ago









      QFIIQFII

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      QFII is a new contributor to this site. Take care in asking for clarification, commenting, and answering.
      Check out our Code of Conduct.






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