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Shreyansh's Projects

anamoly-detector icon anamoly-detector

PyCaret’s Anomaly Detection Module is an unsupervised machine learning module that is used for identifying rare items, events or observations which raise suspicions by differing significantly from the majority of the data. Typically, the anomalous items will translate to some kind of problem such as bank fraud, a structural defect, medical problems or errors . This module provide several pre-processing features that prepares the data for modeling through setup function. This module has over 12 ready-to-use algorithms and several plots to analyze the results of trained models

color icon color

Project divided in two parts. 1- Data analysis on overall data 2- RCA on incidence happened

data-minning icon data-minning

Code snippets, practices, exercises, homework's for the "Data Mining With Python" course, available at Pirple.com

get-back-customer icon get-back-customer

Get Your Customers Back - An Analytical Approach to win-back your Customers

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