WallStreetBets_BigDataAnalysis VS amazon-denseclus

Compare WallStreetBets_BigDataAnalysis vs amazon-denseclus and see what are their differences.

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WallStreetBets_BigDataAnalysis amazon-denseclus
1 1
165 90
- -
0.0 8.1
9 months ago 4 days ago
Jupyter Notebook Jupyter Notebook
- MIT No Attribution
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.

amazon-denseclus

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

What are some alternatives?

When comparing WallStreetBets_BigDataAnalysis and amazon-denseclus you can also consider the following projects:

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)

ML-For-Beginners - 12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

dracula - a brief analysis to the most common words in Dracula, by Bram Stoker

BuildML - Code for the ML Editor from the book "Building ML Powered Applications"

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

Animender - An AI that recommends anime based on personal history.

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

Nutshell-Machine-Learning - This is a repository built by the community for the community.

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.

pycaret - An open-source, low-code machine learning library in Python

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.

Basic-Mathematics-for-Machine-Learning - The motive behind Creating this repo is to feel the fear of mathematics and do what ever you want to do in Machine Learning , Deep Learning and other fields of AI