COVID19_AirTraffic
the-elements-of-statistical-learning
COVID19_AirTraffic | the-elements-of-statistical-learning | |
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1 | 1 | |
9 | 401 | |
- | - | |
2.5 | 1.8 | |
about 2 months ago | over 2 years ago | |
Jupyter Notebook | Jupyter Notebook | |
MIT License | MIT License |
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COVID19_AirTraffic
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Need help finding airline or flight data that shows the impact of the airline industry during COVID-19. I think I found some but not sure how to get the desired data, anyone want to help me?
Open Sky Data and Flight Data - https://github.com/ActiveConclusion/COVID19_AirTraffic
the-elements-of-statistical-learning
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The Elements of Statistical Learning [pdf]
This collection of Jupyter notebooks that reproduces graphics and implements algorithms from the book could be a nice supplementary resource https://github.com/maitbayev/the-elements-of-statistical-lea...
What are some alternatives?
covid19za - Coronavirus COVID-19 (2019-nCoV) Data Repository and Dashboard for South Africa
ISL-python - Porting the R code in ISL to python. Labs and exercises
ISLR - Introduction to Statistical Learning
homemade-machine-learning - 🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Sharing_ISL_python - An Introduction to Statistical Learning with Applications in PYTHON
College-Work - Assignment Solutions
Python-Bible - Resourceful Python Collection
ISLR-python - An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013): Python code
ML-foundations - Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
logbrain - Parsing log files can be a tedious task, especially when dealing with complex log formats. The Log Parser aims to streamline this process by leveraging regular expressions to match and capture relevant fields from log entries. With the extracted data, users can perform further analysis, generate reports, or gain insights from their log files.