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Top 4 Jupyter Notebook feature-selection Projects
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SGX-Full-OrderBook-Tick-Data-Trading-Strategy
Providing the solutions for high-frequency trading (HFT) strategies using data science approaches (Machine Learning) on Full Orderbook Tick Data.
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Deep_Learning_Machine_Learning_Stock
Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of features
Project mention: HFT: High frequency trading. Extended Research - star count:1469.0 | /r/algoprojects | 2023-07-08
Project mention: Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0 | /r/algoprojects | 2023-12-10
Jupyter Notebook feature-selection related posts
- HFT: High frequency trading. Extended Research - star count:1469.0
- HFT: High frequency trading. Extended Research - star count:1469.0
- HFT: High frequency trading. Extended Research - star count:1469.0
- HFT: High frequency trading. Extended Research - star count:1469.0
- HFT: High frequency trading. Extended Research - star count:1469.0
- HFT: High frequency trading. Extended Research - star count:1469.0
- HFT: High frequency trading. Extended Research - star count:1469.0
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A note from our sponsor - WorkOS
workos.com | 23 Apr 2024
Index
What are some of the best open-source feature-selection projects in Jupyter Notebook? This list will help you:
Project | Stars | |
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1 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 1,749 |
2 | Deep_Learning_Machine_Learning_Stock | 1,142 |
3 | feature-engineering-tutorials | 263 |
4 | PyImpetus | 116 |
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