Cryptocurrency-predicting RNN intro – Deep Learning w/ Python, TensorFlow and Keras p.8

33 thoughts on “Cryptocurrency-predicting RNN intro – Deep Learning w/ Python, TensorFlow and Keras p.8”

1. i think that you have a lots of different cups :))

2. To all those getting this error: ValueError: columns overlap but no suffix specified: Index(['BTC-USD_close', 'BTC-USD_volume'], dtype='object')

   USE : main_df = main_df.merge(df,left_index=True,right_index=True)

   INSTEAD OF : main_df = main_df.join(df)

3. https://pythonprogramming.net/static/downloads/machine-learning-data/crypto_data.zip

4. How did you create the data file?

5. New sub, ty mind meld complete.

6. Very nicely explained, thanks.

7. You are a major positive influence in a world of fake gurus.

   Python was the first language I had properly learnt (and still learning).
   Also, since data science was what sucked me into python, Pandas was one of the first few packages I had started using.

   Hence everytime you use 'list(map(fn…' on a series, I wonder, 'why not just .apply' ?

   Love the videos by the way.

8. where can I find the data used in the model?

9. new the new boston bucky:)

10. Can anyone tell how to find out the optimal value of the sequence length, instead of giving 60? Thanks

11. 20:15 that's what i want to do

12. What is the ratio this case? What are the two numbers being compared? Why is there another variable `RATIO_TO_PREDICT`?

13. you can use pd.concat(list_with_dataframes) to merge data frames 🙂

14. thank you very much for this excellent series ! so easy to understand when you are explaining. cheers from austria

15. I think that this could be easier with help of LibreOffice or Excel.

16. Can't find next video… where is it?

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19. You're explaining so well, I fully understand the tricky code I've seen before on Kaggle, thanks to you. Thanks Harrison

20. you could do maindf.target = main_df.future > main_df.close

21. Dude, I love your coffee mugs! Another great tutorial!

22. he looks like justin gaetche

23. I need that cup

24. Thank

25. Hey Sentdex, if I am using a time series data set and simply want to use the RNN to predict outliers, or something out of the norm, I obviously would not have an exact "prediction" of a binary case as in the example of the future being greater than the past price. Any ideas of how I would use the RNN to predict outliers without a predefined rule? Thank you again for all of the videos!

26. Hey. That was a great series, thanks for that. I have a good and well trained model but i don't know how to put that to work using model.predict(). I can load it and see its summary, just can't generate any output that makes sense. Could you please make one more video of this series where you simply use the model you have generate?

    Thanks

27. ur the biggest alpha male god ever made, I BET THE DEVIL BOWES TO YOU AS HE CAN SEE YOU ARE BORN FROM GOD AND BY JESUS AND THE LORRRRDDD
    I WOULD OF TAKEN THE MONEY I EVER GAVE TO SCHOOL
    AND GIVE IT TO INDEPENDENT ONLINE TEACHERS LIKE YOU
    SRSLY, YOU HAVE STARTED AN EDUCATIONAL REVOLUTION
    YOU HAVE MADE TEACHING AVAILBLE, FREE AND BETTER

    AMEN SENTDEX!

28. @ 6:00 lmaooooooo

29. which wersion of tensorflow are you using?

30. Had a course for Quant Trading, using linear regression to pretty much do the same thing and I was so lost, 20 mins of this and already things make sense!! Thank you so much

31. You look like slim shady

32. Sentdex >>>>>>>>>>> Any fucker who do python tutorial

33. I get CUDA errors. I quit.

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