Top 12 Jupyter Notebook feature-engineering 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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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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hamilton
Hamilton helps data scientists and engineers define testable, modular, self-documenting dataflows, that encode lineage and metadata. Runs and scales everywhere python does.
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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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serverless-ml-course
Serverless Machine Learning Course for building AI-enabled Prediction Services from models and features
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WorkOS
The modern identity platform for B2B SaaS. The APIs are flexible and easy-to-use, supporting authentication, user identity, and complex enterprise features like SSO and SCIM provisioning.
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Spotify_Song_Recommender
This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.
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StravaKudos
:running: :dart: Predicting Strava Kudos on my own activities using the given activity's attributes.
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lockdowndates
Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
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CSGO-Pro-Gear-Performance-and-EDA
Modeling Professional (CS:GO) Gamer's Accuracy Performance Based on Gear and Settings, and Exploratory Data Analysis.
Project mention: HFT: High frequency trading. Extended Research - star count:1469.0 | /r/algoprojects | 2023-07-08
Project mention: Using IPython Jupyter Magic commands to improve the notebook experience | dev.to | 2024-03-03In this post, we’ll show how your team can turn any utility function(s) into reusable IPython Jupyter magics for a better notebook experience. As an example, we’ll use Hamilton, my open source library, to motivate the creation of a magic that facilitates better development ergonomics for using it. You needn’t know what Hamilton is to understand this post.
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-engineering related posts
Index
What are some of the best open-source feature-engineering projects in Jupyter Notebook? This list will help you:
| Project | Stars | |
|---|---|---|
| 1 | SGX-Full-OrderBook-Tick-Data-Trading-Strategy | 1,749 |
| 2 | featureform | 1,674 |
| 3 | hamilton | 1,312 |
| 4 | Deep_Learning_Machine_Learning_Stock | 1,142 |
| 5 | deltapy | 527 |
| 6 | serverless-ml-course | 477 |
| 7 | feature-engineering-tutorials | 263 |
| 8 | anovos | 77 |
| 9 | Spotify_Song_Recommender | 28 |
| 10 | StravaKudos | 9 |
| 11 | lockdowndates | 6 |
| 12 | CSGO-Pro-Gear-Performance-and-EDA | 1 |
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