cryptocurrency-price-prediction
TensorFlow2.0_Notebooks
Our great sponsors
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 |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
cryptocurrency-price-prediction
-
Help with Jupyter notebook for crypto price prediction
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
What are some alternatives?
Time-Series-Forecasting-Using-LSTM - Time-Series Forecasting on Stock Prices using LSTM
mmcv - OpenMMLab Computer Vision Foundation
AI-Expert-Roadmap - Roadmap to becoming an Artificial Intelligence Expert in 2022
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.