DEVELOPING AN INTEGRATED MODEL BASED ON MACHINE LEARNING TOOLS AND TECHNIQUES FOR EFFECTIVELY PREDICTING THE PRICE OF PULSES

Lakshit Dua

Vol. 5, Issue 1, Jan-Dec 2019

Page Number: 243 - 248

Abstract:

Price is an important figure in monetary exercises. Unexpected cost fluctuations demonstrate flaws. AI offers different systems for foreseeing item costs to manage market unpredictability. In this review, we research using an AI way to deal with predict moong dal costs. A system using different AI calculations like SVR, Random Forest, XGBoost and ARIMA is proposed. The focus of a comparative investigation of the results given by these calculations can pick the ideal calculation for different predictions.

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