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I'll use various techniques to train and evaluate a model based on loan risk. I will use a dataset of historical lending activity from a peer-to-peer lending services company to build a model that can identify the creditworthiness of borrowers.
This repo represents all the resampling techniques needed to achieve better results in highly unbalanced or skewed data that has 77 % of data in one class and rest in others.
This is an ongoing project on Characterizing, calculating and understanding(the drivers of) Elevational Migration of resient birds in the southern western Ghats.
Pattern Jitter is an algorithm for generating artificial spike trains that are maximally random while preserving the smoothed firing rates and the recent spike histories in a recorded spike train.