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PyImpetus
PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in order to provide not just the best set of features but also the best combination of featuresFRUFS
An unsupervised feature selection technique using supervised algorithms such as XGBoostCompetition-code
This repository contains code I wrote for all the competitions that I participated inRegression_ReSampling
A python library for repurposing traditional classification-based resampling techniques for regression tasksmanual_spellchecker
A manual spell checker built on pyenchant that allows you to swiftly correct misspelled wordsClustering-based-Topic-Recommendation
Winter Internship at the Indian Institute of Technology, KharagpurNovel-undersampling-techniques-CROUST-and-ICROUST
Code for the work published in the 19th Industrial Conference on Data Mining, ICDMAccurate-Model-for-Cancer-Detection
Summer Internship at the Indian Institute of Technology, KharagpurFusionCharts
This repository contains prototype work I did while joining and after joining FusionChartsatif-hassan.github.io
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