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updated stock price prediction tutorial

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machine-learning/stock-prediction
- data
  - AAPL_2020-04-28.csv
  - TSLA_2020-09-03.csv
- logs
  - 2020-04-28_AAPL-huber_loss-adam-LSTM-seq-50-step-1-layers-3-units-256
    - train
      - events.out.tfevents.1588085522.DESKTOP-JCAH48A.20284.17166.v2
      - events.out.tfevents.1588085526.DESKTOP-JCAH48A.profile-empty
      - plugins/profile/2020-04-28_16-52-06
        local.trace
    - validation
      - events.out.tfevents.1588085529.DESKTOP-JCAH48A.20284.26053.v2
  - 2020-04-28_AAPL-huber_loss-adam-LSTM-seq-70-step-1-layers-3-units-256
    - train
      - events.out.tfevents.1588088001.DESKTOP-JCAH48A.17916.222502.v2
      - events.out.tfevents.1588088006.DESKTOP-JCAH48A.profile-empty
      - plugins/profile/2020-04-28_17-33-26
        local.trace
    - validation
      - events.out.tfevents.1588088009.DESKTOP-JCAH48A.17916.231389.v2
  - 2020-04-28_AAPL-huber_loss-adam-LSTM-seq-70-step-1-layers-3-units-256-b
    - train
      - events.out.tfevents.1588086485.DESKTOP-JCAH48A.17916.3462.v2
      - events.out.tfevents.1588086499.DESKTOP-JCAH48A.profile-empty
      - plugins/profile/2020-04-28_17-08-19
        local.trace
    - validation
      - events.out.tfevents.1588086505.DESKTOP-JCAH48A.17916.20196.v2
  - 2020-09-03_TSLA-huber_loss-adam-LSTM-seq-70-step-1-layers-3-units-256
    - train
      - events.out.tfevents.1599144380.DESKTOP-JCAH48A.14220.1862.v2
      - events.out.tfevents.1599144388.DESKTOP-JCAH48A.profile-empty
      - plugins/profile/2020-09-03_16-46-28
        local.trace
    - validation
      - events.out.tfevents.1599144390.DESKTOP-JCAH48A.14220.10404.v2
  - 2020-09-03_TSLA-huber_loss-adam-LSTM-seq-70-step-10-layers-3-units-256
    - train
      - events.out.tfevents.1599145763.DESKTOP-JCAH48A.17900.1862.v2
      - events.out.tfevents.1599145768.DESKTOP-JCAH48A.profile-empty
      - plugins/profile/2020-09-03_17-09-28
        local.trace
    - validation
      - events.out.tfevents.1599145769.DESKTOP-JCAH48A.17900.10404.v2
  - 2020-09-03_TSLA-huber_loss-adam-LSTM-seq-70-step-30-layers-3-units-256
    - train
      - events.out.tfevents.1599146115.DESKTOP-JCAH48A.17476.1862.v2
      - events.out.tfevents.1599146120.DESKTOP-JCAH48A.profile-empty
      - plugins/profile/2020-09-03_17-15-20
        local.trace
    - validation
      - events.out.tfevents.1599146122.DESKTOP-JCAH48A.17476.10401.v2
- parameters.py
- results

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`‎machine-learning/stock-prediction/data/AAPL_2020-04-28.csv`

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`‎machine-learning/stock-prediction/data/TSLA_2020-09-03.csv`

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`‎machine-learning/stock-prediction/parameters.py`

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Original file line number	Diff line number	Diff line change
`@@ -37,8 +37,8 @@`
`37`	`37`	`BATCH_SIZE=64`
`38`	`38`	`EPOCHS=400`
`39`	`39`
`40`		`-#Apple stock market`
`41`		`-ticker="AAPL"`
	`40`	`+#Tesla stock market`
	`41`	`+ticker="TSLA"`
`42`	`42`	`ticker_data_filename=os.path.join("data",f"{ticker}_{date_now}.csv")`
`43`	`43`	`# model name to save, making it as unique as possible based on parameters`
`44`	`44`	`model_name=f"{date_now}_{ticker}-{LOSS}-{OPTIMIZER}-{CELL.__name__}-seq-{N_STEPS}-step-{LOOKUP_STEP}-layers-{N_LAYERS}-units-{UNITS}"`

`‎machine-learning/stock-prediction/results/2020-04-28_AAPL-huber_loss-adam-LSTM-seq-70-step-1-layers-3-units-256.h5renamed to‎machine-learning/stock-prediction/results/2020-09-03_TSLA-huber_loss-adam-LSTM-seq-70-step-1-layers-3-units-256.h5`

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