Cryptocurrency price prediction using LSTMs

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Offline motiur.swe

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Cryptocurrency price prediction using LSTMs
« on: June 30, 2019, 01:39:39 PM »
This time you’ll build a basic Deep Neural Network model to predict Bitcoin price based on historical data. You can use the model however you want, but you carry the risk for your actions.

You might be asking yourself something along the lines:

Can I still get rich with cryptocurrency?
Of course, the answer is fairly nuanced. Here, we’ll have a look at how you might build a model to help you along the crazy journey.

Or you might be having money problems? Here is one possible solution:
Here is the plan:

Cryptocurrency data overview
Time Series
Data preprocessing
Build and train LSTM model in TensorFlow 2
Use the model to predict future Bitcoin price
Data Overview
Our dataset comes from Yahoo! Finance and covers all available (at the time of this writing) data on Bitcoin-USD price. Let’s load it into a Pandas dataframe:

csv_path = "https://raw.githubusercontent.com/curiousily/Deep-Learning-For-Hackers/master/data/3.stock-prediction/BTC-USD.csv"
df = pd.read_csv(csv_path, parse_dates=['Date'])
df = df.sort_values('Date')

Note that we sort the data by Date just in case.

Fore More info:
https://towardsdatascience.com/cryptocurrency-price-prediction-using-lstms-tensorflow-for-hackers-part-iii-264fcdbccd3f
Sheikh Shah Mohammad Motiur Rahman
Lecturer (Senior Scale), Department of Software Engineering
Daffodil International University
+8801718 297606
motiur.swe@diu.edu.bd
http://faculty.daffodilvarsity.edu.bd/profile/swe/motiur.html

Offline Asif Khan Shakir

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Re: Cryptocurrency price prediction using LSTMs
« Reply #1 on: July 02, 2019, 02:03:52 PM »
Nice Post

Offline s.arman

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Re: Cryptocurrency price prediction using LSTMs
« Reply #2 on: July 08, 2019, 07:16:37 PM »
Thanks for sharing

Offline SSH Shamma

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Re: Cryptocurrency price prediction using LSTMs
« Reply #3 on: February 29, 2020, 07:41:57 PM »
Thanks for sharing
Syeda Sumbul Hossain
Lecturer, SWE
Daffodil International University
Contact No. 01918455555