CSGO-Pro-Gear-Performance-and-EDA
Epidemiology101
| CSGO-Pro-Gear-Performance-and-EDA | Epidemiology101 | |
|---|---|---|
| 5 | 2 | |
| 1 | 278 | |
| - | 2.2% | |
| 0.0 | 5.6 | |
| almost 2 years ago | 26 days ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | MIT License |
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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!
Epidemiology101
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Show HN: What Are You Working On?
Trying to put the finishing touches on a Python package [1] for epidemic modeling using Compartmental models. This grew out of a series of blog posts I started writing during the pandemic [2] based on my professional experience in epidemic modeling in a previous life where I was the lead developer for a state of the art global epidemic model [3].
[1] http://github.com/DataForScience/epidemik
[2] https://github.com/DataForScience/Epidemiology101
[3] https://www.gleamviz.org/explore.html
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AI outperforms conventional weather forecasting for the first time: Google study
No worries, Google does tend to do a good job of monopolizing attention in whatever they do and Epidemic Modeling is... complicated. Probably much more complicated than pretty much any other kind of modeling since people have the bad habit of thinking and acting in whatever way they want (sometimes with the explicit purpose of breaking your model :).
Now, if you want to see the real-world state-of-the-art epidemic modeling on a global scale, checkout GLEaM/GLEaMViz https://www.gleamviz.org/ (full disclaimer, in a previous life I was the lead developer).
And if you're interested in a basic intro, you can also checkout my (somewhat neglected) series of blog posts from the pandemic days: https://github.com/DataForScience/Epidemiology101
What are some alternatives?
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 )
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RecSys_Course_AT_PoliMi - This is the official repository for the Recommender Systems course at Politecnico di Milano.
Face-Mask-Detection - Face Mask Detection system based on computer vision and deep learning using OpenCV and Tensorflow/Keras
csgo-impact-rating - A probabilistic player rating system for Counter Strike: Global Offensive, powered by machine learning
covid_project - Data analysis project on a COVID-19 data set provided by Our World in Data
lockdowndates - Retrieve the dates of the restrictions imposed by governments in countries around the world during the covid-19 pandemic.
covid19-sir - CovsirPhy: Python library for COVID-19 analysis with phase-dependent SIR-derived ODE models.