WallStreetBets_BigDataAnalysis VS dracula

Compare WallStreetBets_BigDataAnalysis vs dracula and see what are their differences.

WallStreetBets_BigDataAnalysis

Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏 (by Fryingpannn)

dracula

a brief analysis to the most common words in Dracula, by Bram Stoker (by geazi-anc)
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WallStreetBets_BigDataAnalysis dracula
1 2
165 0
- -
0.0 10.0
9 months ago over 1 year ago
Jupyter Notebook Jupyter Notebook
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The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
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.

WallStreetBets_BigDataAnalysis

Posts with mentions or reviews of WallStreetBets_BigDataAnalysis. We have used some of these posts to build our list of alternatives and similar projects.

dracula

Posts with mentions or reviews of dracula. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-11.

What are some alternatives?

When comparing WallStreetBets_BigDataAnalysis and dracula you can also consider the following projects:

amazon-denseclus - Clustering for mixed-type data

Gather-Deployment - Gathers Python deployment, infrastructure and practices.

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)

stylegan2-projecting-images - Projecting images to latent space with StyleGAN2.

ESG-AI-investment-by-streamlit - ESG-investment AI

russo-ukraine-war-prediction-losses - Highlights rusian losses with predictions based on historic data from Ministry Defence of Ukraine 🐱‍👤

reddit-streaming - streaming eight subreddits from reddit api using kafka producer & spark structured streaming.

synapse-azure-data-explorer-101 - Getting started with Azure Synapse and Azure Data Explorer

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.

project-atlas-sao-paulo - A project for the development of rich geospatial data from the city of São Paulo for use in Machine Learning models.