Over the previous decade, Cryptocurrency has maintained a steady increase in popularity. The very nature of cryptocurrencies is such that its imperceptible and ungovernable. These qualities intrigue a large number of people to forecast the future value of distinct cryptocurrencies based on their historical price inflation. This research paper assesses and estimates the price projections and volatility of the cryptocurrency named Ethereum (ETH). We accomplish this objective by the use of 4 machine learning algorithms and 3 deep learning techniques to time series analysis of Ethereum (ETH) prices from August 2015 to December 2021 (2315 days). In terms of RMSE, MAE, MSE, and R2 score, deep learning technique LSTM demonstrated superior prediction accuracy when compared to other learning methods.