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A fast xgboost feature selection algorithm
Created 2017-08-23
45 commits to master branch, last one 7 years ago
7
70
apache-2.0
5
A lightweight gradient boosted decision tree package.
Created 2022-04-27
464 commits to main branch, last one about a month ago
Perform a survival analysis based on the time-to-event (death event) for the subjects. Compare machine learning models to assess the likelihood of a death by heart failure condition. This can be used ...
Created 2020-10-10
239 commits to master branch, last one 2 years ago
We have used our skill of machine learning along with our passion for cricket to predict the performance of players in the upcoming matches using ML Algorithms like random-forest and XG Boost
Created 2021-08-16
43 commits to main branch, last one 11 months ago
Designed web app employs the Streamlit Python library for frontend design and communicates with backend ML models to predict the probability of diseases. It's capable of predicting whether someone has...
Created 2022-08-03
88 commits to main branch, last one 2 months ago