Crypto Currency Price Prediction Using Machine Learning

Abstract

Advancements of machine learning (ML) inside the field of computer vision have paved the way for its potential its application in many other fields. Researchers and hardware domain specialist are exploring possible programs of machine learning in optimizing many components of hardware improvement technique. In this paper we're using forecast algorithm to be expecting the future rate of crypto currency. Solana, as the maximum famous crypto currency, has received increasing attention from both investors and researchers over current years. One emerging branch of the studies on Solana makes a specialty of empirical Solana pricing. Machine learning methods are nicely perfect for predictive troubles, and researchers regularly apply these methods to predict Solana prices and returns. In this examine, we examine the prevailing body of literature on empirical Solana pricing via machine learning and shape it in line with 4 distinctive ideas. We display that studies on this topic is noticeably diverse and that the results of numerous research can most effective be as compared to a restrained extent. We further derive pointers for future courses inside the field to ensure a sufficient level of transparency and reproducibility representation from a smaller dataset.