[3줄 ML] Comparative Performance of Machine Learning Algorithms for Cryptocurrency Forecasting
1. Summary This paper presents a comparative performance of Machine Learning algorithms for cryptocurrency forecasting. Specifically, this paper concentrates on forecasting of time series data => SVM, ANNs, DL, BoostedNN 총 4개의 ML 모델 사용 The data is prepared from daily open, close, high and low price of a daily trading for all total of six types of cryptocurrencies(BTC, ETH, LTC, NEM, XRP, XLM) an..