reddit-streaming
WallStreetBets_BigDataAnalysis
| reddit-streaming | WallStreetBets_BigDataAnalysis | |
|---|---|---|
| 1 | 1 | |
| 18 | 166 | |
| - | - | |
| 0.0 | 0.0 | |
| 3 months ago | 9 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | - |
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.
reddit-streaming
WallStreetBets_BigDataAnalysis
What are some alternatives?
journalist - Journalist. An RSS aggregator.
amazon-denseclus - Clustering for mixed-type data
Hello-AWS-Data-Services - AWS Data/MLServices sample code & notes for my LinkedIn Learning courses
project - Predict how many points an European football team will end the season with, according to the characteristics of its players. Project for the Big Data Computing course at Sapienza University of Rome (2021-22)
firehose - Firehose is an extensible, no-code, and cloud-native service to load real-time streaming data from Kafka to data stores, data lakes, and analytical storage systems.
dracula - a brief analysis to the most common words in Dracula, by Bram Stoker
tag-youre-it-backend - 🌐 A real world FastAPI example
ESG-AI-investment-by-streamlit - ESG-investment AI
Gather-Deployment - Gathers Python deployment, infrastructure and practices.
H2O - H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
materialize - The data warehouse for operational workloads.
NLU-engine-prototype-benchmarks - Demo and benchmarks for building an NLU engine similar to those in voice assistants. Several intent classifiers are implemented and benchmarked. Conditional Random Fields (CRFs) are used for entity extraction.