GitHub topics: gbdt-model

Repositories

hongyingyue/Machine-Learning-PoC

Machine learning project designed as proof-of-concept

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djdhairya/Liver-Disease-Classification

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RanaPrince/Classification-Algorithm--ML

Use of Gradient Boosting Descision Trees for a Classification Problem

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plingyy/nitrogen_oxides_prediction

NOx prediction

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Sahil-Chavan/MicrosoftMalwareDetection

==>>Problem Statement : In the past few years, the malware industry has grown very rapidly that, the syndicates invest heavily in technologies to evade traditional protection, forcing the anti-malware groups/communities to build more robust softwares to detect and terminate these attacks. The major part of protecting a computer system from a malware attack is to identify whether a given piece of file/software is a malware. ==>>Source/Useful Link : Microsoft has been very active in building anti-malware products over the years and it runs it’s anti-malware utilities over <b>150 million computers</b> around the world. This generates tens of millions of daily data points to be analyzed as potential malware. In order to be effective in analyzing and classifying such large amounts of data, we need to be able to group them into groups and identify their respective families. -> Source: https://www.kaggle.com/c/malware-classification

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