Navigating the Crypto RollerCoaster: Predictions for BITCOINS Path

Navigating the Crypto RollerCoaster: Predictions for BITCOINS Path
Author(s):
Singireddy Deekshitha, N.Naveen Kumar
Keywords:
Supervised Principal Coefficients Embedding (SPCE), machine learning algorithms, Logistic Regression, Support Vector Machine and ARIMA.
Abstract
In this project we are using Subspace Learning Algorithm called Supervised Principal Coefficients Embedding (SPCE) to reduce high dimension data into low dimension. In machine learning all algorithms get trained on past datasets and this dataset often contains irrelevant (unimportant) features and this features will be removed by applying SPCE algorithm. SPCE algorithm will find coefficients or fitness or each attribute by calculating accuracy and whatever features gave high accuracy will be selected and remaining attributes will be remove out. In this project we are using Blockchain technology to store BITCOIN historic price data. This data will be retrieved by machine learning algorithms such as Logistic Regression, Support Vector Machine and ARIMA. This algorithms will get trained on this data and then predict future price of Bitcoin.
Article Details
Unique Paper ID: 167265 Publication Volume & Issue: Volume 11, Issue 3 Page(s): 685 - 692
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