dracula VS WallStreetBets_BigDataAnalysis

Compare dracula vs WallStreetBets_BigDataAnalysis and see what are their differences.

dracula

a brief analysis to the most common words in Dracula, by Bram Stoker (by geazi-anc)

WallStreetBets_BigDataAnalysis

Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏 (by Fryingpannn)
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dracula WallStreetBets_BigDataAnalysis
2 1
0 166
- -
10.0 0.0
over 1 year ago 9 months ago
Jupyter Notebook Jupyter Notebook
- -
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.

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.

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.

What are some alternatives?

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

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

amazon-denseclus - Clustering for mixed-type data

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

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)

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

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

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

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

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.

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.

homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained

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.