Bitcoin Price Prediction using LSTM | Deep-Learning Project #DeepLearning #Machine Learning #Python

Hey there,
In this project we will explore about Bitcoin and also we will predict the price of bitcoin using Machine Learning algorithm.

You can use Google Colab or Kaggle Notebook where you don't need to look at prerequisite of creating virtual environment and downloading TensorFlow.

Here we will use LSTM model in Tensorflow to build our model and then we will predict the bitcoin price.

The data about Bitcoin can be found on Yahoo Finance

There are few things we can change and improve the performance of the model you can finetune the model as well as increase the data in the dataset , you can add more layers if you want.

Tweak the parameter and see what performance model gives.

Code Links:

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#MachineLearning #Bitcoin #DeepLearning #Python

Hope you find this video insightful,
Have a Great Day,
Happy Learning!!

[pp-teuw]

I'm new at coding. I watched so many videos about predictions, but you explained everything so clearly. Your video helped me a lot. thank you 😊😊

[mr.sanchaarimusic]

Seeing this video, I remembered my Engineering days, when lecturers used to read ppt for us, without knowing what they are teaching nor considering to know whether we are understanding, but eventually, after some hair fall, we learned from the ppt itself. So thanks for the codes, and not so thankful for the explanation.

[SelfImprovementsOnly-yyki]

This video is phenomenal for my research, thank you, only thing I would add is to only minmax scale after you split the training and testing set to avoid bias

[aapriyanka]

thank you so much sir. excellent video

[atenkhu]

Hi, why not Predict the daily Bitcoin price direction instead and use F1, Accuracy, Precision & Recall as evaluation metrics?

Also looks like there's data leakage in your code.

[abdullahshaikh]

can you please upload more videos about DataScience and please convert this project in dashboard and create a video please please

[sereneelizabeth]

Bro I need some help regarding this project. Are you there in any social media. Can u please help running this project

[GameRajx]

Brother, How can i know the percentage of accuracy of your model can you tell me about its accuracy or add it in your kaggle notebook

[imane-hxkp]

I can use a time step for LSTM since it can learn temporal relationships. The same pre-processing technique can also be applied with a Support Vector Regressor (SVR) or Random Forest Regressor (RF). However, while LSTM is designed to capture temporal dependencies, SVR and RF are not inherently built to learn these temporal relationships, which might limit their effectiveness in this context.

Is it still effective to use this pre-processing technique with other classical machine learning algorithms, even though they are not designed to learn temporal relationships? Would this approach still yield correct and useful results?

[marcosagustinmel]

With the Create Dataset function. You are using 15 as time step... so It means that you are trying to predict the price of today based on the past 15 days ? and so on..

Thanks

[snquiz]

Last prediction part makes error ! before that everything works!

[ksaha]

How did you do that animation at the beginning of the video ? 😅

[SujeetSingh-xors]

can yo find accuracy, precision, recole score

[rajankumarmishra]

can we apply here cnn or any other factor to improve accuracy

[benfantastic]

can i use this code for my project to predict the bitcoin price using LSTM for the next 30 days??

[diptodas]

When it is the matter of forecasting you will understand this machine learning models are nothing in front of Stock market

[manjunathh]

Can I know why you drop the "Adj Close" and "Volume" column any specific reason??

[abhishekbhardwaj]

Hey...Actually, I was making a BTC prediction model using decision trees, but there's some problem while plotting the graph..could you help me..?

[ummeyfarwa]

Can u provide me full source code 4 crypto currency use price prediction in machine learning module

[natancruz]

thanks for the video, get really hard to understand the last part (predicting next 30 days) and i have no idea in how to interpret the metrics results, did you know a source where i can find about this?