cryptocurrency-price-prediction VS TensorFlow2.0_Notebooks

Compare cryptocurrency-price-prediction vs TensorFlow2.0_Notebooks and see what are their differences.

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cryptocurrency-price-prediction TensorFlow2.0_Notebooks
2 1
555 37
- -
0.0 0.0
over 1 year ago about 3 years ago
Jupyter Notebook Jupyter Notebook
MIT License MIT License
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cryptocurrency-price-prediction

Posts with mentions or reviews of cryptocurrency-price-prediction. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-03-04.
  • Help with Jupyter notebook for crypto price prediction
    2 projects | /r/learnpython | 4 Mar 2021
    Hey. This isn't really a predictor or forecaster in any sense, since the independent variables (X) are not knowable ahead of time. In fact, they include some serious data leakage such as the day's high and low, which will only be known at close (which is what it predicted). Also, the code to show the predictions is wrong, and essentially just shows the training data shifted forward (https://github.com/abhinavsagar/cryptocurrency-price-prediction/issues/1) so the results are just not there.

TensorFlow2.0_Notebooks

Posts with mentions or reviews of TensorFlow2.0_Notebooks. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-04-17.

What are some alternatives?

When comparing cryptocurrency-price-prediction and TensorFlow2.0_Notebooks you can also consider the following projects:

Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM

mmcv - OpenMMLab Computer Vision Foundation

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machine-learning-for-trading - Code for Machine Learning for Algorithmic Trading, 2nd edition.

ai-art-generator - For automating the creation of large batches of AI-generated artwork locally.

spaCy - 💫 Industrial-strength Natural Language Processing (NLP) in Python

strv-ml-mask2face - Virtually remove a face mask to see what a person looks like underneath

LSTM-Human-Activity-Recognition - Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

TensorFlow-Tutorials - TensorFlow Tutorials with YouTube Videos

artificial-intelligence-and-machine-learning - A repository for implementation of artificial intelligence algorithm which includes machine learning and deep learning algorithm as well as classical AI search algorithm

Deep-Learning-In-Production - Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.