| Название | : | Bitcoin Price Prediction with Deep Learning LSTM (Tensorflow ) - PART-1 | Machine Learning | Crypto |
| Продолжительность | : | 1.22.42 |
| Дата публикации | : | |
| Просмотров | : | 10 rb |
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Why cant I go to the part 2? Really amazing video btw Loved the detailed explanationbrbrEdit: The link worked Somesort of VPN issue Comment from : @navidnouroz2853 |
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Excellent tutorial! Really one of the best explanations! Comment from : @marcosagustinmel2294 |
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With this we would wanted to see what tomorrow's prices will be We are looking to buy or sell at the end of the last test point (which is now)! With this training using the training data we would not only like to see our accuracy using the validation data but should see the last input of the last 5 data points and its prediction into the future brAlso, with other data available like MACD, etc having more inputs somehow integrated along with the price would be nice for timeseries I can not see that a tutorial with this type of examples are being shown but I remembered using one last year when I first started viewing and working through the presentation brI am 75 and so my attention to detail, memory and creativeness seems to be lacking brThanks for a great presentation Comment from : @harrymaltby5060 |
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which is the current ROI, buying low, selling high? Comment from : @axel9546 |
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Curious if you are interested in getting paid to create ML trading bots? Looking to invest heavily in a trading bot creators Comment from : @larkey4449 |
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Having problems when trying to predict with test data, getting the MinMaxScaler not fitted error, someone help please Comment from : @nelohenriq |
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we did prediction day 60 for test why we did that Comment from : @hughhugh6678 |
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hi, why are we using mixmaxscaler instead of standardscaler, as some people claimed minmaxscaler will limited the maximum price point based on previous history, it would not predict if the price point breached the previous top tq Comment from : @DanielCheong90 |
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Hi , how can i improve the accuracy of this model ? You mentioned making the data stationary and layers to the LSTM could u explain ? Comment from : @ibrahimali1955 |
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Best video on this topic! Comment from : @UnderGaminG |
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Hello, you are showing the trained model as actual and prediction How can he make the next prediction when he doesn't know the future? eg; Can we predict the forecasts in the chart between 17122021 - 01012022 without real data? Comment from : @savasnehri592 |
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Amazing man best tutorial but, you only used the Close price as input to lstm , can we take all OHLC as input to predict only close price? Comment from : @mariaaliasghar9018 |
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Nice tutorial 🎉brHow to check next 10 days prediction with x axis as date ? brbrCan you make plotly plot with it brbrThanks Comment from : @beyondai6427 |
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