Deep_Learning_Machine_Learning_Stock
tsfresh
Deep_Learning_Machine_Learning_Stock | tsfresh | |
---|---|---|
48 | 4 | |
1,149 | 8,096 | |
- | 0.5% | |
6.1 | 5.4 | |
2 months ago | 15 days ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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Deep_Learning_Machine_Learning_Stock
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:924.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:792.0
- Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:729.0
- Deep-Learning-Machine-Learning-Stock: curated list of notebooks for machine learning models. Start with very simple linear models to more advanced reinforcement learning type of models. Problem with this repo is that the library version numbers may b
tsfresh
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For deep learning practitioners in industry, is the workflow always this annoying? [D]
This is definitely a good thing to try for time-series; you can automate your feature extraction too (eg using https://github.com/blue-yonder/tsfresh ).
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[D] Incorporating external data in LSTM models for sales forecasting in e-commerce
don't forget your feature engineering -> https://github.com/blue-yonder/tsfresh
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[R] Approach to identify clusters on a time series
Rather than the exact clustering algorithm, I think the main issue here is the feature extraction for the clustering. https://github.com/blue-yonder/tsfresh might be useful for that.
- Automatic time series feature extraction based on scalable hypothesis tests
What are some alternatives?
bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling
tsflex - Flexible time series feature extraction & processing
FinanceDataReader - Financial data reader [Moved to: https://github.com/FinanceData/FinanceDataReader]
TimeSynth - A Multipurpose Library for Synthetic Time Series Generation in Python
TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.
SDV - Synthetic data generation for tabular data
deltapy - DeltaPy - Tabular Data Augmentation (by @firmai)
Time-Series-Transformer - A data preprocessing package for time series data. Design for machine learning and deep learning.
DataScienceProjects
darts - A python library for user-friendly forecasting and anomaly detection on time series.
ML-Workspace - 🛠All-in-one web-based IDE specialized for machine learning and data science.
tsfel - An intuitive library to extract features from time series.