sc2eval VS cryptocurrency-price-prediction

Compare sc2eval vs cryptocurrency-price-prediction and see what are their differences.

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sc2eval cryptocurrency-price-prediction
1 2
2 555
- -
10.0 0.0
almost 2 years ago over 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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sc2eval

Posts with mentions or reviews of sc2eval. We have used some of these posts to build our list of alternatives and similar projects.

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.

What are some alternatives?

When comparing sc2eval and cryptocurrency-price-prediction you can also consider the following projects:

stock-prediction-deep-neural-learning - Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting

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

Twitter-sentiment-analysis - A sentiment analysis model trained with Kaggle GPU on 1.6M examples, used to make inferences on 220k tweets about Messi and draw insights from their results.

AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022

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

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

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach

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

TensorFlow2.0_Notebooks - Implementation of a series of Neural Network architectures in TensorFow 2.0

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