CSGO-Pro-Gear-Performance-and-EDA VS csgo-impact-rating

Compare CSGO-Pro-Gear-Performance-and-EDA vs csgo-impact-rating and see what are their differences.

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CSGO-Pro-Gear-Performance-and-EDA csgo-impact-rating
5 1
1 9
- -
0.0 0.0
almost 2 years ago about 1 year ago
Jupyter Notebook Jupyter Notebook
- MIT License
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.

csgo-impact-rating

Posts with mentions or reviews of csgo-impact-rating. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-01-14.
  • A simple round outcome predictor project
    2 projects | /r/GlobalOffensive | 14 Jan 2023
    I did something similar a couple of years ago using gradient boosting to play around with an "impact" based player rating system, was a lot of fun to work on: https://github.com/phil-holland/csgo-impact-rating

What are some alternatives?

When comparing CSGO-Pro-Gear-Performance-and-EDA and csgo-impact-rating you can also consider the following projects:

NLP-CNN-Subreddit-Sorter-Heroku-App - End-to-end development of an application using a convolutional neural network that suggests to users/moderators which technical subreddit a post actually belongs to. Novel method to determine # of CNN filters. Custom Word2vec embeddings. The subreddits chosen are all technical and similar, and benefit users/moderators interested in data science and related fields. (Exploratory data analysis, feature engineering, custom word2vec embeddings, convolutional neural network, deployment via flask to Heroku )

shap - A game theoretic approach to explain the output of any machine learning model. [Moved to: https://github.com/shap/shap]

football-crunching - Analysis and datasets about football (soccer)

ML-Prediction-LoL - In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.

RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.

streamlit - Streamlit — A faster way to build and share data apps.

Epidemiology101 - Epidemic Modeling for Everyone

shap - A game theoretic approach to explain the output of any machine learning model.