Jupyter Notebook feature-selection

Open-source Jupyter Notebook projects categorized as feature-selection

Top 4 Jupyter Notebook feature-selection Projects

  • 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.

  • Project mention: HFT: High frequency trading. Extended Research - star count:1469.0 | /r/algoprojects | 2023-07-08
  • Deep_Learning_Machine_Learning_Stock

    Deep Learning and Machine Learning stocks represent promising opportunities for both long-term and short-term investors and traders.

  • Project mention: Deep_Learning_Machine_Learning_Stock: NEW Deep Learning And Reinforcement Learning - star count:1017.0 | /r/algoprojects | 2023-12-10
  • 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.

    InfluxDB logo
  • feature-engineering-tutorials

    Data Science Feature Engineering and Selection Tutorials

  • 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

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook feature-selection related posts

Index

What are some of the best open-source feature-selection projects in Jupyter Notebook? This list will help you:

Project Stars
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

Sponsored
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com