football-crunching
CSGO-Pro-Gear-Performance-and-EDA
Our great sponsors
football-crunching | CSGO-Pro-Gear-Performance-and-EDA | |
---|---|---|
1 | 5 | |
305 | 1 | |
- | - | |
0.0 | 0.0 | |
over 2 years ago | almost 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
- | - |
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.
football-crunching
-
[OC] Lionel Messi's shots and goals with Barcelona during his record-breaking 2011/2012 season, compared to his attempts in the 2014 and 2018 World Cups with Argentina
I was pointed to the Huffington Post data by this great repo: https://github.com/rjtavares/football-crunching (which, coincidentally, I found because of this Reddit post: https://www.reddit.com/r/datascience/comments/rh22z9/ive_made_a_search_engine_with_5000_quality_data/ by u/khanarree
CSGO-Pro-Gear-Performance-and-EDA
- The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github, and I have not reuploaded the notebooks to the repo's since then.
- The outputs of my jupyter notebooks inside of Github repos only show half of what they used to. Why did this happen and how to fix? I am certain that the outputs used to show everything when viewed in Github.
- I wanted to share my first personal data science project. I'm also looking for criticism. I set out to see how well you could model CS:GO player's accuracy performance based on their gear and settings alone. Please check out my repo link in the text!
- I wanted to share my first personal data science project. I'm also looking for criticism. I set out to model CS:GO player's accuracy performance based on their gear and settings alone. Sorry if this counts as self promotion. Please check out my repo link in the text!
What are some alternatives?
open-data - Free football data from StatsBomb
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 )
PRML - PRML algorithms implemented in Python
RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.
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.
csgo-impact-rating - A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning
SportsLabKit - A python package for turning sports video into csv files
Epidemiology101 - Epidemic Modeling for Everyone
sports-analytics - Data collection, processing, visualization, modeling, and ideation in the space of sports analytics
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained