project VS WallStreetBets_BigDataAnalysis

Compare project vs WallStreetBets_BigDataAnalysis and see what are their differences.

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) (by Big-Data-FC)

WallStreetBets_BigDataAnalysis

Research project aimed to classify the best stock research posts from r/WallStreetBets for you. 😏 (by Fryingpannn)
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project WallStreetBets_BigDataAnalysis
2 1
6 165
- -
10.0 0.0
over 1 year ago 9 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
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project

Posts with mentions or reviews of project. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-09-16.

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 project and WallStreetBets_BigDataAnalysis you can also consider the following projects:

football_analytics - 📊⚽ A collection of football analytics projects, data, and analysis by Edd Webster (@eddwebster), including a curated list of publicly available resources published by the football analytics community.

amazon-denseclus - Clustering for mixed-type data

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

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

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

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

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.

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

transfers - data on european football player transfers

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.

fifa-stats-crawler - A web-crawler to scrape FIFA 20 and 21 players' latest information from Sofifa Website

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.