TY  - JOUR
TI  - A Comparative Study of Bitcoin Price Prediction Using Machine Learning Algorithms

AU  - M. Akhil Sai
AU  -  K. Sarath Chandra Sai
AU  -  M. Manu Koushik
AU  -  K. Gowri Raghavendra Narayan
JO  - International Journal of Scientific Research in Computer Science, Engineering and Information Technology
PB  - Technoscience Academy
DA  - 2020/04/30
PY  - 2020
DO  - https://doi.org/10.32628/CSEIT206237
UR  - https://ijsrcseit.com/CSEIT206237
VL  - 6
IS  - 2
SP  - 160	
EP  - 163
AB  - ML and AI-helped exchanging have pulled in developing enthusiasm for as far back as not many years.We examine day-by-day information for different digital currencies over some stretch of time. We show that straightforward exchanging methodologies helped by innovative AI calculations outflank standard benchmarks. We have picked two Machine Learning Algorithms to play out a Comparative Study to foresee cost of a Bitcoin; we have utilized Decision tree regressor and LSTM Algorithms and watched execution of every calculation as far as anticipating the cost of Bitcoin. We saw that Decision tree regressor gives progressively effective and precise outcomes when contrasted with others.