Abstract
Abstract: One of the prodigious perquisites of Python is that you can build solutions for real time glitches. This applies in almost every manufacturing. From constructing models to forecast sicknesses to constructing web apps that can estimate the future sales of your online store, predict demand, predict future outcomes. In this paper we proposed a binary logistic model which can forecast floods grounded on the regular rainfall index for every year in Kerala, India.
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